Test Results Summary Service

renaissance-movie-lens_0

[2025-07-15T21:44:49.677Z] Running test renaissance-movie-lens_0 ... [2025-07-15T21:44:49.677Z] =============================================== [2025-07-15T21:44:49.677Z] renaissance-movie-lens_0 Start Time: Tue Jul 15 17:44:49 2025 Epoch Time (ms): 1752615889323 [2025-07-15T21:44:49.677Z] variation: NoOptions [2025-07-15T21:44:49.677Z] JVM_OPTIONS: [2025-07-15T21:44:49.677Z] { \ [2025-07-15T21:44:49.677Z] echo ""; echo "TEST SETUP:"; \ [2025-07-15T21:44:49.677Z] echo "Nothing to be done for setup."; \ [2025-07-15T21:44:49.677Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17526153575146/renaissance-movie-lens_0"; \ [2025-07-15T21:44:49.677Z] cd "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17526153575146/renaissance-movie-lens_0"; \ [2025-07-15T21:44:49.677Z] echo ""; echo "TESTING:"; \ [2025-07-15T21:44:49.678Z] "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17526153575146/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-15T21:44:49.678Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17526153575146/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-15T21:44:49.678Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-15T21:44:49.678Z] echo "Nothing to be done for teardown."; \ [2025-07-15T21:44:49.678Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk17_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17526153575146/TestTargetResult"; [2025-07-15T21:44:49.678Z] [2025-07-15T21:44:49.678Z] TEST SETUP: [2025-07-15T21:44:49.678Z] Nothing to be done for setup. [2025-07-15T21:44:49.678Z] [2025-07-15T21:44:49.678Z] TESTING: [2025-07-15T21:44:52.158Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-07-15T21:44:54.579Z] 17:44:54.152 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-07-15T21:44:55.342Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-15T21:44:55.707Z] Training: 60056, validation: 20285, test: 19854 [2025-07-15T21:44:55.707Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-15T21:44:55.707Z] GC before operation: completed in 51.264 ms, heap usage 299.393 MB -> 75.710 MB. [2025-07-15T21:44:58.189Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:44:59.970Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:45:01.253Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:45:03.097Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:45:03.939Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:45:04.752Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:45:05.547Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:45:06.333Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:45:06.700Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:45:06.700Z] The best model improves the baseline by 14.52%. [2025-07-15T21:45:06.700Z] Top recommended movies for user id 72: [2025-07-15T21:45:06.700Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:45:06.700Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:45:06.700Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:45:06.700Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:45:06.700Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:45:06.700Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11077.489 ms) ====== [2025-07-15T21:45:06.700Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-15T21:45:06.700Z] GC before operation: completed in 61.212 ms, heap usage 105.672 MB -> 95.458 MB. [2025-07-15T21:45:08.543Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:45:09.785Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:45:11.026Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:45:12.273Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:45:13.059Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:45:13.841Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:45:14.621Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:45:15.403Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:45:15.787Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:45:15.787Z] The best model improves the baseline by 14.52%. [2025-07-15T21:45:15.787Z] Top recommended movies for user id 72: [2025-07-15T21:45:15.787Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:45:15.787Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:45:15.787Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:45:15.787Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:45:15.787Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:45:15.787Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9051.226 ms) ====== [2025-07-15T21:45:15.787Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-15T21:45:15.787Z] GC before operation: completed in 57.921 ms, heap usage 235.623 MB -> 88.295 MB. [2025-07-15T21:45:17.048Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:45:18.317Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:45:20.120Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:45:20.897Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:45:21.676Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:45:22.461Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:45:23.246Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:45:24.023Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:45:24.023Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:45:24.023Z] The best model improves the baseline by 14.52%. [2025-07-15T21:45:24.023Z] Top recommended movies for user id 72: [2025-07-15T21:45:24.023Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:45:24.023Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:45:24.023Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:45:24.023Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:45:24.023Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:45:24.023Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (8225.773 ms) ====== [2025-07-15T21:45:24.023Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-15T21:45:24.023Z] GC before operation: completed in 44.210 ms, heap usage 453.309 MB -> 89.365 MB. [2025-07-15T21:45:25.282Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:45:27.110Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:45:28.905Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:45:30.226Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:45:31.006Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:45:32.256Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:45:33.052Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:45:33.822Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:45:34.194Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:45:34.194Z] The best model improves the baseline by 14.52%. [2025-07-15T21:45:34.194Z] Top recommended movies for user id 72: [2025-07-15T21:45:34.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:45:34.194Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:45:34.194Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:45:34.194Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:45:34.194Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:45:34.194Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10029.318 ms) ====== [2025-07-15T21:45:34.194Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-15T21:45:34.194Z] GC before operation: completed in 60.169 ms, heap usage 227.683 MB -> 89.285 MB. [2025-07-15T21:45:35.458Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:45:36.378Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:45:37.636Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:45:38.890Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:45:39.666Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:45:40.029Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:45:40.797Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:45:41.163Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:45:41.528Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:45:41.528Z] The best model improves the baseline by 14.52%. [2025-07-15T21:45:41.528Z] Top recommended movies for user id 72: [2025-07-15T21:45:41.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:45:41.528Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:45:41.528Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:45:41.528Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:45:41.528Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:45:41.528Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7256.491 ms) ====== [2025-07-15T21:45:41.528Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-15T21:45:41.528Z] GC before operation: completed in 49.024 ms, heap usage 114.665 MB -> 89.177 MB. [2025-07-15T21:45:42.780Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:45:43.562Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:45:44.810Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:45:46.047Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:45:46.848Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:45:47.222Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:45:47.999Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:45:48.787Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:45:48.787Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:45:48.787Z] The best model improves the baseline by 14.52%. [2025-07-15T21:45:49.146Z] Top recommended movies for user id 72: [2025-07-15T21:45:49.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:45:49.146Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:45:49.146Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:45:49.146Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:45:49.146Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:45:49.146Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7477.268 ms) ====== [2025-07-15T21:45:49.146Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-15T21:45:49.146Z] GC before operation: completed in 51.591 ms, heap usage 310.738 MB -> 90.911 MB. [2025-07-15T21:45:50.395Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:45:51.641Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:45:53.442Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:45:54.232Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:45:55.030Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:45:56.288Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:45:56.654Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:45:57.434Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:45:57.807Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:45:57.807Z] The best model improves the baseline by 14.52%. [2025-07-15T21:45:57.807Z] Top recommended movies for user id 72: [2025-07-15T21:45:57.807Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:45:57.807Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:45:57.807Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:45:57.807Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:45:57.807Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:45:57.807Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8712.782 ms) ====== [2025-07-15T21:45:57.807Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-15T21:45:57.807Z] GC before operation: completed in 49.093 ms, heap usage 439.121 MB -> 89.993 MB. [2025-07-15T21:45:59.082Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:46:00.375Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:46:01.666Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:46:02.964Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:46:03.749Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:46:04.138Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:46:05.428Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:46:05.845Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:46:06.205Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:46:06.205Z] The best model improves the baseline by 14.52%. [2025-07-15T21:46:06.205Z] Top recommended movies for user id 72: [2025-07-15T21:46:06.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:46:06.205Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:46:06.205Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:46:06.205Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:46:06.205Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:46:06.205Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8421.409 ms) ====== [2025-07-15T21:46:06.205Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-15T21:46:06.205Z] GC before operation: completed in 64.405 ms, heap usage 370.117 MB -> 90.169 MB. [2025-07-15T21:46:07.459Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:46:08.711Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:46:09.969Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:46:11.754Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:46:12.579Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:46:13.350Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:46:14.125Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:46:14.910Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:46:14.910Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:46:14.910Z] The best model improves the baseline by 14.52%. [2025-07-15T21:46:14.910Z] Top recommended movies for user id 72: [2025-07-15T21:46:14.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:46:14.911Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:46:14.911Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:46:14.911Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:46:14.911Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:46:14.911Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (8611.116 ms) ====== [2025-07-15T21:46:14.911Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-15T21:46:14.911Z] GC before operation: completed in 54.652 ms, heap usage 132.498 MB -> 89.568 MB. [2025-07-15T21:46:16.155Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:46:17.397Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:46:18.252Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:46:19.496Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:46:20.274Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:46:21.053Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:46:21.412Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:46:22.192Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:46:22.192Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:46:22.192Z] The best model improves the baseline by 14.52%. [2025-07-15T21:46:22.192Z] Top recommended movies for user id 72: [2025-07-15T21:46:22.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:46:22.192Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:46:22.192Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:46:22.192Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:46:22.192Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:46:22.192Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (7273.772 ms) ====== [2025-07-15T21:46:22.192Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-15T21:46:22.192Z] GC before operation: completed in 61.645 ms, heap usage 222.927 MB -> 89.910 MB. [2025-07-15T21:46:23.434Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:46:24.213Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:46:25.460Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:46:26.232Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:46:26.596Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:46:27.383Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:46:27.752Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:46:28.538Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:46:28.538Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:46:28.538Z] The best model improves the baseline by 14.52%. [2025-07-15T21:46:28.538Z] Top recommended movies for user id 72: [2025-07-15T21:46:28.538Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:46:28.538Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:46:28.538Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:46:28.538Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:46:28.538Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:46:28.538Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6374.221 ms) ====== [2025-07-15T21:46:28.538Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-15T21:46:28.904Z] GC before operation: completed in 57.581 ms, heap usage 443.908 MB -> 89.968 MB. [2025-07-15T21:46:30.157Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:46:31.431Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:46:32.692Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:46:33.942Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:46:34.709Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:46:35.501Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:46:36.273Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:46:37.050Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:46:37.050Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:46:37.050Z] The best model improves the baseline by 14.52%. [2025-07-15T21:46:37.050Z] Top recommended movies for user id 72: [2025-07-15T21:46:37.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:46:37.050Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:46:37.050Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:46:37.050Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:46:37.050Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:46:37.050Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8359.592 ms) ====== [2025-07-15T21:46:37.050Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-15T21:46:37.050Z] GC before operation: completed in 55.146 ms, heap usage 130.220 MB -> 89.839 MB. [2025-07-15T21:46:38.329Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:46:39.574Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:46:40.830Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:46:42.071Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:46:42.852Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:46:43.647Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:46:44.420Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:46:45.200Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:46:45.200Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:46:45.200Z] The best model improves the baseline by 14.52%. [2025-07-15T21:46:45.200Z] Top recommended movies for user id 72: [2025-07-15T21:46:45.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:46:45.200Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:46:45.200Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:46:45.200Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:46:45.200Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:46:45.200Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8116.418 ms) ====== [2025-07-15T21:46:45.200Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-15T21:46:45.200Z] GC before operation: completed in 54.635 ms, heap usage 280.780 MB -> 90.172 MB. [2025-07-15T21:46:46.461Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:46:47.709Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:46:48.964Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:46:50.785Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:46:51.144Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:46:52.397Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:46:53.182Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:46:53.965Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:46:53.966Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:46:54.341Z] The best model improves the baseline by 14.52%. [2025-07-15T21:46:54.341Z] Top recommended movies for user id 72: [2025-07-15T21:46:54.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:46:54.341Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:46:54.341Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:46:54.341Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:46:54.341Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:46:54.341Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (8873.921 ms) ====== [2025-07-15T21:46:54.341Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-15T21:46:54.341Z] GC before operation: completed in 58.861 ms, heap usage 102.519 MB -> 90.083 MB. [2025-07-15T21:46:55.601Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:46:56.862Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:46:58.182Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:46:59.442Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:47:00.239Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:47:01.057Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:47:01.446Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:47:02.736Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:47:02.736Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:47:02.736Z] The best model improves the baseline by 14.52%. [2025-07-15T21:47:02.736Z] Top recommended movies for user id 72: [2025-07-15T21:47:02.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:47:02.736Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:47:02.736Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:47:02.736Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:47:02.736Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:47:02.736Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8477.894 ms) ====== [2025-07-15T21:47:02.736Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-15T21:47:02.736Z] GC before operation: completed in 63.360 ms, heap usage 204.025 MB -> 89.993 MB. [2025-07-15T21:47:04.008Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:47:05.849Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:47:07.099Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:47:08.346Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:47:09.137Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:47:09.909Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:47:10.700Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:47:11.494Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:47:11.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:47:11.861Z] The best model improves the baseline by 14.52%. [2025-07-15T21:47:11.861Z] Top recommended movies for user id 72: [2025-07-15T21:47:11.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:47:11.861Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:47:11.861Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:47:11.861Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:47:11.861Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:47:11.861Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9081.598 ms) ====== [2025-07-15T21:47:11.861Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-15T21:47:11.861Z] GC before operation: completed in 61.959 ms, heap usage 428.862 MB -> 90.176 MB. [2025-07-15T21:47:13.663Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:47:14.911Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:47:16.166Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:47:17.416Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:47:18.208Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:47:18.985Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:47:19.767Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:47:20.558Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:47:20.558Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:47:20.558Z] The best model improves the baseline by 14.52%. [2025-07-15T21:47:20.558Z] Top recommended movies for user id 72: [2025-07-15T21:47:20.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:47:20.558Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:47:20.558Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:47:20.558Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:47:20.558Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:47:20.558Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8655.917 ms) ====== [2025-07-15T21:47:20.558Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-15T21:47:20.558Z] GC before operation: completed in 53.837 ms, heap usage 379.758 MB -> 90.173 MB. [2025-07-15T21:47:21.814Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:47:23.076Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:47:24.338Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:47:25.584Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:47:25.976Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:47:27.239Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:47:28.036Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:47:28.824Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:47:28.824Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:47:28.824Z] The best model improves the baseline by 14.52%. [2025-07-15T21:47:28.824Z] Top recommended movies for user id 72: [2025-07-15T21:47:28.824Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:47:28.824Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:47:28.824Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:47:28.824Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:47:28.824Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:47:28.824Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8121.427 ms) ====== [2025-07-15T21:47:28.824Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-15T21:47:28.824Z] GC before operation: completed in 51.687 ms, heap usage 135.448 MB -> 89.575 MB. [2025-07-15T21:47:30.076Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:47:31.326Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:47:32.576Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:47:33.823Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:47:34.600Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:47:35.388Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:47:36.161Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:47:36.940Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:47:36.940Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:47:36.940Z] The best model improves the baseline by 14.52%. [2025-07-15T21:47:36.940Z] Top recommended movies for user id 72: [2025-07-15T21:47:36.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:47:36.940Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:47:36.940Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:47:36.940Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:47:36.940Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:47:36.940Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (8082.500 ms) ====== [2025-07-15T21:47:36.940Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-15T21:47:36.940Z] GC before operation: completed in 51.060 ms, heap usage 219.184 MB -> 89.960 MB. [2025-07-15T21:47:38.195Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T21:47:39.443Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T21:47:40.695Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T21:47:42.006Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T21:47:42.795Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T21:47:43.590Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T21:47:44.436Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T21:47:45.225Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T21:47:45.225Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T21:47:45.225Z] The best model improves the baseline by 14.52%. [2025-07-15T21:47:45.225Z] Top recommended movies for user id 72: [2025-07-15T21:47:45.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T21:47:45.225Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T21:47:45.225Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T21:47:45.225Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T21:47:45.225Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T21:47:45.225Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8277.074 ms) ====== [2025-07-15T21:47:45.583Z] ----------------------------------- [2025-07-15T21:47:45.583Z] renaissance-movie-lens_0_PASSED [2025-07-15T21:47:45.583Z] ----------------------------------- [2025-07-15T21:47:45.583Z] [2025-07-15T21:47:45.583Z] TEST TEARDOWN: [2025-07-15T21:47:45.583Z] Nothing to be done for teardown. [2025-07-15T21:47:45.583Z] renaissance-movie-lens_0 Finish Time: Tue Jul 15 17:47:45 2025 Epoch Time (ms): 1752616065366