[2025-07-16T06:59:29.241Z] Running test renaissance-movie-lens_0 ... [2025-07-16T06:59:29.241Z] =============================================== [2025-07-16T06:59:29.241Z] renaissance-movie-lens_0 Start Time: Wed Jul 16 06:59:27 2025 Epoch Time (ms): 1752649167523 [2025-07-16T06:59:29.241Z] variation: NoOptions [2025-07-16T06:59:29.241Z] JVM_OPTIONS: [2025-07-16T06:59:29.241Z] { \ [2025-07-16T06:59:29.241Z] echo ""; echo "TEST SETUP:"; \ [2025-07-16T06:59:29.241Z] echo "Nothing to be done for setup."; \ [2025-07-16T06:59:29.241Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17526418129189/renaissance-movie-lens_0"; \ [2025-07-16T06:59:29.241Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17526418129189/renaissance-movie-lens_0"; \ [2025-07-16T06:59:29.241Z] echo ""; echo "TESTING:"; \ [2025-07-16T06:59:29.241Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17526418129189/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-16T06:59:29.241Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17526418129189/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-16T06:59:29.241Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-16T06:59:29.241Z] echo "Nothing to be done for teardown."; \ [2025-07-16T06:59:29.241Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17526418129189/TestTargetResult"; [2025-07-16T06:59:29.241Z] [2025-07-16T06:59:29.241Z] TEST SETUP: [2025-07-16T06:59:29.241Z] Nothing to be done for setup. [2025-07-16T06:59:29.241Z] [2025-07-16T06:59:29.241Z] TESTING: [2025-07-16T07:00:00.755Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-16T07:00:43.261Z] 07:00:41.628 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-07-16T07:01:00.259Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-16T07:01:05.176Z] Training: 60056, validation: 20285, test: 19854 [2025-07-16T07:01:05.176Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-16T07:01:05.176Z] GC before operation: completed in 846.162 ms, heap usage 255.424 MB -> 75.620 MB. [2025-07-16T07:02:03.641Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:02:30.348Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:03:01.049Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:03:27.818Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:03:41.832Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:03:56.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:04:09.903Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:04:22.141Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:04:24.023Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:04:24.809Z] The best model improves the baseline by 14.52%. [2025-07-16T07:04:26.509Z] Top recommended movies for user id 72: [2025-07-16T07:04:26.509Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:04:26.509Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:04:26.509Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:04:26.509Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:04:26.509Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:04:26.509Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (200749.553 ms) ====== [2025-07-16T07:04:26.509Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-16T07:04:27.283Z] GC before operation: completed in 1011.753 ms, heap usage 478.148 MB -> 90.203 MB. [2025-07-16T07:04:49.621Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:05:08.801Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:05:27.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:05:42.511Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:05:54.624Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:06:03.113Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:06:15.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:06:23.608Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:06:25.258Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:06:25.258Z] The best model improves the baseline by 14.52%. [2025-07-16T07:06:26.101Z] Top recommended movies for user id 72: [2025-07-16T07:06:26.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:06:26.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:06:26.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:06:26.101Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:06:26.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:06:26.101Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (119232.532 ms) ====== [2025-07-16T07:06:26.101Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-16T07:06:26.897Z] GC before operation: completed in 790.628 ms, heap usage 562.379 MB -> 94.699 MB. [2025-07-16T07:06:46.745Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:07:03.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:07:20.079Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:07:36.728Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:07:46.775Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:07:55.774Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:08:05.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:08:17.488Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:08:19.182Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:08:19.182Z] The best model improves the baseline by 14.52%. [2025-07-16T07:08:20.005Z] Top recommended movies for user id 72: [2025-07-16T07:08:20.005Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:08:20.005Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:08:20.005Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:08:20.005Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:08:20.005Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:08:20.005Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (112917.679 ms) ====== [2025-07-16T07:08:20.005Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-16T07:08:20.842Z] GC before operation: completed in 816.404 ms, heap usage 725.850 MB -> 95.258 MB. [2025-07-16T07:08:43.360Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:08:57.576Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:09:22.452Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:09:39.071Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:09:49.294Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:09:57.905Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:10:10.169Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:10:18.809Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:10:21.343Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:10:21.343Z] The best model improves the baseline by 14.52%. [2025-07-16T07:10:22.149Z] Top recommended movies for user id 72: [2025-07-16T07:10:22.149Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:10:22.149Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:10:22.149Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:10:22.149Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:10:22.149Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:10:22.149Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (121555.040 ms) ====== [2025-07-16T07:10:22.149Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-16T07:10:22.969Z] GC before operation: completed in 800.347 ms, heap usage 137.114 MB -> 93.107 MB. [2025-07-16T07:10:39.551Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:10:56.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:11:12.664Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:11:29.196Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:11:37.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:11:47.630Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:11:57.694Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:12:07.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:12:08.566Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:12:08.566Z] The best model improves the baseline by 14.52%. [2025-07-16T07:12:09.339Z] Top recommended movies for user id 72: [2025-07-16T07:12:09.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:12:09.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:12:09.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:12:09.339Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:12:09.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:12:09.339Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (106439.739 ms) ====== [2025-07-16T07:12:09.339Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-16T07:12:10.963Z] GC before operation: completed in 908.680 ms, heap usage 512.990 MB -> 93.999 MB. [2025-07-16T07:12:28.318Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:12:40.471Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:12:52.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:13:07.185Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:13:14.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:13:22.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:13:32.715Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:13:39.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:13:41.761Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:13:41.761Z] The best model improves the baseline by 14.52%. [2025-07-16T07:13:42.576Z] Top recommended movies for user id 72: [2025-07-16T07:13:42.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:13:42.576Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:13:42.576Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:13:42.576Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:13:42.576Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:13:42.576Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (91780.167 ms) ====== [2025-07-16T07:13:42.576Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-16T07:13:43.402Z] GC before operation: completed in 779.482 ms, heap usage 562.658 MB -> 93.406 MB. [2025-07-16T07:13:57.769Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:14:14.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:14:29.460Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:14:43.791Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:14:52.551Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:14:58.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:15:07.186Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:15:14.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:15:15.247Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:15:15.247Z] The best model improves the baseline by 14.52%. [2025-07-16T07:15:16.088Z] Top recommended movies for user id 72: [2025-07-16T07:15:16.088Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:15:16.088Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:15:16.088Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:15:16.088Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:15:16.088Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:15:16.088Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (92797.896 ms) ====== [2025-07-16T07:15:16.088Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-16T07:15:17.064Z] GC before operation: completed in 639.535 ms, heap usage 176.029 MB -> 92.906 MB. [2025-07-16T07:15:29.833Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:15:42.065Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:15:54.258Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:16:04.505Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:16:11.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:16:18.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:16:26.398Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:16:35.009Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:16:35.823Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:16:35.824Z] The best model improves the baseline by 14.52%. [2025-07-16T07:16:36.655Z] Top recommended movies for user id 72: [2025-07-16T07:16:36.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:16:36.655Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:16:36.655Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:16:36.655Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:16:36.655Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:16:36.655Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (79935.455 ms) ====== [2025-07-16T07:16:36.655Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-16T07:16:37.476Z] GC before operation: completed in 654.497 ms, heap usage 268.523 MB -> 91.048 MB. [2025-07-16T07:16:49.640Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:17:01.778Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:17:13.934Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:17:25.148Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:17:34.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:17:41.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:17:50.286Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:17:57.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:17:58.438Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:17:58.438Z] The best model improves the baseline by 14.52%. [2025-07-16T07:17:59.282Z] Top recommended movies for user id 72: [2025-07-16T07:17:59.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:17:59.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:17:59.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:17:59.282Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:17:59.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:17:59.282Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (81846.297 ms) ====== [2025-07-16T07:17:59.282Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-16T07:18:00.117Z] GC before operation: completed in 708.458 ms, heap usage 446.563 MB -> 90.173 MB. [2025-07-16T07:18:14.601Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:18:27.620Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:18:42.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:18:52.911Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:19:04.929Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:19:12.261Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:19:19.835Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:19:29.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:19:31.158Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:19:31.158Z] The best model improves the baseline by 14.52%. [2025-07-16T07:19:32.026Z] Top recommended movies for user id 72: [2025-07-16T07:19:32.026Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:19:32.026Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:19:32.026Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:19:32.026Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:19:32.026Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:19:32.026Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (92157.187 ms) ====== [2025-07-16T07:19:32.026Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-16T07:19:32.881Z] GC before operation: completed in 702.481 ms, heap usage 202.402 MB -> 90.016 MB. [2025-07-16T07:19:45.458Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:19:58.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:20:10.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:20:21.475Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:20:28.934Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:20:37.024Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:20:44.504Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:20:53.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:20:54.297Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:20:54.297Z] The best model improves the baseline by 14.52%. [2025-07-16T07:20:55.157Z] Top recommended movies for user id 72: [2025-07-16T07:20:55.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:20:55.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:20:55.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:20:55.157Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:20:55.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:20:55.157Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (82600.254 ms) ====== [2025-07-16T07:20:55.157Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-16T07:20:55.988Z] GC before operation: completed in 666.026 ms, heap usage 649.332 MB -> 92.481 MB. [2025-07-16T07:21:13.146Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:21:23.722Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:21:33.216Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:21:43.729Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:21:51.097Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:21:58.439Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:22:05.855Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:22:11.891Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:22:12.745Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:22:12.745Z] The best model improves the baseline by 14.52%. [2025-07-16T07:22:13.625Z] Top recommended movies for user id 72: [2025-07-16T07:22:13.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:22:13.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:22:13.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:22:13.625Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:22:13.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:22:13.625Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (77509.977 ms) ====== [2025-07-16T07:22:13.625Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-16T07:22:14.501Z] GC before operation: completed in 686.817 ms, heap usage 630.852 MB -> 92.720 MB. [2025-07-16T07:22:27.214Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:22:38.390Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:22:50.796Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:23:01.398Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:23:08.835Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:23:16.302Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:23:23.823Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:23:30.646Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:23:32.418Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:23:32.418Z] The best model improves the baseline by 14.52%. [2025-07-16T07:23:33.298Z] Top recommended movies for user id 72: [2025-07-16T07:23:33.298Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:23:33.298Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:23:33.298Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:23:33.298Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:23:33.298Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:23:33.298Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (79066.409 ms) ====== [2025-07-16T07:23:33.298Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-16T07:23:34.177Z] GC before operation: completed in 777.744 ms, heap usage 206.155 MB -> 91.373 MB. [2025-07-16T07:23:46.525Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:23:58.935Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:24:13.456Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:24:22.379Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:24:30.036Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:24:36.714Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:24:47.349Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:24:52.218Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:24:53.096Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:24:53.096Z] The best model improves the baseline by 14.52%. [2025-07-16T07:24:53.934Z] Top recommended movies for user id 72: [2025-07-16T07:24:53.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:24:53.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:24:53.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:24:53.934Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:24:53.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:24:53.934Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (80067.331 ms) ====== [2025-07-16T07:24:53.934Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-16T07:24:54.806Z] GC before operation: completed in 564.619 ms, heap usage 223.398 MB -> 90.362 MB. [2025-07-16T07:25:05.446Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:25:19.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:25:34.047Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:25:44.913Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:25:50.805Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:25:59.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:26:06.599Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:26:13.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:26:14.581Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:26:14.581Z] The best model improves the baseline by 14.52%. [2025-07-16T07:26:15.393Z] Top recommended movies for user id 72: [2025-07-16T07:26:15.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:26:15.393Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:26:15.393Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:26:15.393Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:26:15.393Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:26:15.393Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (80663.664 ms) ====== [2025-07-16T07:26:15.393Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-16T07:26:16.223Z] GC before operation: completed in 559.018 ms, heap usage 292.137 MB -> 90.333 MB. [2025-07-16T07:26:28.531Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:26:43.022Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:26:53.290Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:27:03.560Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:27:13.819Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:27:19.632Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:27:28.435Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:27:36.048Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:27:36.864Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:27:36.864Z] The best model improves the baseline by 14.52%. [2025-07-16T07:27:37.682Z] Top recommended movies for user id 72: [2025-07-16T07:27:37.682Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:27:37.682Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:27:37.682Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:27:37.682Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:27:37.682Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:27:37.682Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (81804.392 ms) ====== [2025-07-16T07:27:37.682Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-16T07:27:38.512Z] GC before operation: completed in 632.853 ms, heap usage 448.732 MB -> 89.044 MB. [2025-07-16T07:27:50.500Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:28:02.504Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:28:16.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:28:26.719Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:28:34.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:28:40.265Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:28:47.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:28:53.304Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:28:54.093Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:28:54.093Z] The best model improves the baseline by 14.52%. [2025-07-16T07:28:54.895Z] Top recommended movies for user id 72: [2025-07-16T07:28:54.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:28:54.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:28:54.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:28:54.895Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:28:54.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:28:54.895Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (76639.602 ms) ====== [2025-07-16T07:28:54.895Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-16T07:28:55.700Z] GC before operation: completed in 612.007 ms, heap usage 452.974 MB -> 86.907 MB. [2025-07-16T07:29:05.970Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:29:18.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:29:30.569Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:29:40.682Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:29:47.702Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:29:56.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:30:04.874Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:30:15.059Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:30:16.751Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:30:17.581Z] The best model improves the baseline by 14.52%. [2025-07-16T07:30:18.393Z] Top recommended movies for user id 72: [2025-07-16T07:30:18.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:30:18.393Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:30:18.393Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:30:18.393Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:30:18.393Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:30:18.393Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (83067.976 ms) ====== [2025-07-16T07:30:18.393Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-16T07:30:19.203Z] GC before operation: completed in 656.318 ms, heap usage 224.236 MB -> 85.987 MB. [2025-07-16T07:30:36.343Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:30:46.380Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:30:58.196Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:31:10.024Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:31:17.015Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:31:23.978Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:31:30.198Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:31:37.173Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:31:37.957Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:31:37.957Z] The best model improves the baseline by 14.52%. [2025-07-16T07:31:38.736Z] Top recommended movies for user id 72: [2025-07-16T07:31:38.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:31:38.736Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:31:38.736Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:31:38.736Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:31:38.736Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:31:38.736Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (79535.771 ms) ====== [2025-07-16T07:31:38.736Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-16T07:31:39.517Z] GC before operation: completed in 559.184 ms, heap usage 373.834 MB -> 86.211 MB. [2025-07-16T07:31:51.393Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T07:32:01.424Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T07:32:11.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T07:32:21.638Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T07:32:27.953Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T07:32:33.788Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T07:32:39.474Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T07:32:46.525Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T07:32:47.338Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T07:32:48.128Z] The best model improves the baseline by 14.52%. [2025-07-16T07:32:48.940Z] Top recommended movies for user id 72: [2025-07-16T07:32:48.940Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T07:32:48.940Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T07:32:48.940Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T07:32:48.940Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T07:32:48.940Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T07:32:48.940Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (69171.910 ms) ====== [2025-07-16T07:32:50.567Z] ----------------------------------- [2025-07-16T07:32:50.567Z] renaissance-movie-lens_0_PASSED [2025-07-16T07:32:50.567Z] ----------------------------------- [2025-07-16T07:32:50.567Z] [2025-07-16T07:32:50.567Z] TEST TEARDOWN: [2025-07-16T07:32:50.567Z] Nothing to be done for teardown. [2025-07-16T07:32:51.343Z] renaissance-movie-lens_0 Finish Time: Wed Jul 16 07:32:50 2025 Epoch Time (ms): 1752651170495