[2025-06-18T23:52:13.771Z] Running test renaissance-movie-lens_0 ... [2025-06-18T23:52:13.771Z] =============================================== [2025-06-18T23:52:13.771Z] renaissance-movie-lens_0 Start Time: Wed Jun 18 23:52:12 2025 Epoch Time (ms): 1750290732631 [2025-06-18T23:52:13.771Z] variation: NoOptions [2025-06-18T23:52:13.771Z] JVM_OPTIONS: [2025-06-18T23:52:13.771Z] { \ [2025-06-18T23:52:13.771Z] echo ""; echo "TEST SETUP:"; \ [2025-06-18T23:52:13.771Z] echo "Nothing to be done for setup."; \ [2025-06-18T23:52:13.771Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17502892034604/renaissance-movie-lens_0"; \ [2025-06-18T23:52:13.771Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17502892034604/renaissance-movie-lens_0"; \ [2025-06-18T23:52:13.771Z] echo ""; echo "TESTING:"; \ [2025-06-18T23:52:13.771Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_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_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17502892034604/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-18T23:52:13.771Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17502892034604/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-18T23:52:13.771Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-18T23:52:13.771Z] echo "Nothing to be done for teardown."; \ [2025-06-18T23:52:13.771Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17502892034604/TestTargetResult"; [2025-06-18T23:52:13.771Z] [2025-06-18T23:52:13.771Z] TEST SETUP: [2025-06-18T23:52:13.771Z] Nothing to be done for setup. [2025-06-18T23:52:13.771Z] [2025-06-18T23:52:13.771Z] TESTING: [2025-06-18T23:52:19.093Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-18T23:52:27.184Z] 23:52:26.605 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-18T23:52:29.122Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-18T23:52:32.149Z] Training: 60056, validation: 20285, test: 19854 [2025-06-18T23:52:32.149Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-18T23:52:32.149Z] GC before operation: completed in 171.367 ms, heap usage 146.596 MB -> 74.442 MB. [2025-06-18T23:52:36.998Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:52:39.999Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:52:44.108Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:52:48.218Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:52:50.153Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:52:52.088Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:52:55.078Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:52:57.276Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:52:57.276Z] 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. [2025-06-18T23:52:57.276Z] The best model improves the baseline by 14.52%. [2025-06-18T23:52:57.276Z] Top recommended movies for user id 72: [2025-06-18T23:52:57.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:52:57.276Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:52:57.276Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:52:57.276Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:52:57.276Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:52:57.276Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27024.911 ms) ====== [2025-06-18T23:52:57.276Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-18T23:52:57.276Z] GC before operation: completed in 190.657 ms, heap usage 110.510 MB -> 85.219 MB. [2025-06-18T23:53:01.390Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:53:04.387Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:53:08.509Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:53:11.495Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:53:13.440Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:53:15.379Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:53:17.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:53:19.257Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:53:19.257Z] 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. [2025-06-18T23:53:19.257Z] The best model improves the baseline by 14.52%. [2025-06-18T23:53:20.200Z] Top recommended movies for user id 72: [2025-06-18T23:53:20.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:53:20.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:53:20.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:53:20.200Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:53:20.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:53:20.200Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22321.780 ms) ====== [2025-06-18T23:53:20.200Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-18T23:53:20.200Z] GC before operation: completed in 187.767 ms, heap usage 159.802 MB -> 87.476 MB. [2025-06-18T23:53:23.190Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:53:26.174Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:53:29.161Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:53:31.262Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:53:33.200Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:53:35.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:53:38.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:53:39.044Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:53:39.044Z] 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. [2025-06-18T23:53:39.044Z] The best model improves the baseline by 14.52%. [2025-06-18T23:53:39.044Z] Top recommended movies for user id 72: [2025-06-18T23:53:39.044Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:53:39.044Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:53:39.044Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:53:39.044Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:53:39.044Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:53:39.044Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19135.765 ms) ====== [2025-06-18T23:53:39.044Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-18T23:53:39.044Z] GC before operation: completed in 169.464 ms, heap usage 381.345 MB -> 88.423 MB. [2025-06-18T23:53:42.032Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:53:45.028Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:53:49.140Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:53:51.085Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:53:53.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:53:54.954Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:53:56.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:53:58.829Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:53:58.829Z] 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. [2025-06-18T23:53:58.829Z] The best model improves the baseline by 14.52%. [2025-06-18T23:53:58.829Z] Top recommended movies for user id 72: [2025-06-18T23:53:58.829Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:53:58.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:53:58.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:53:58.830Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:53:58.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:53:58.830Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19864.894 ms) ====== [2025-06-18T23:53:58.830Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-18T23:53:59.776Z] GC before operation: completed in 148.038 ms, heap usage 468.719 MB -> 88.792 MB. [2025-06-18T23:54:01.710Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:54:05.823Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:54:08.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:54:11.888Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:54:12.833Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:54:14.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:54:16.702Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:54:18.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:54:18.640Z] 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. [2025-06-18T23:54:18.640Z] The best model improves the baseline by 14.52%. [2025-06-18T23:54:18.640Z] Top recommended movies for user id 72: [2025-06-18T23:54:18.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:54:18.640Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:54:18.640Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:54:18.640Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:54:18.640Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:54:18.640Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19713.648 ms) ====== [2025-06-18T23:54:18.640Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-18T23:54:19.581Z] GC before operation: completed in 151.746 ms, heap usage 421.685 MB -> 88.632 MB. [2025-06-18T23:54:22.573Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:54:24.510Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:54:28.618Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:54:31.721Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:54:32.665Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:54:34.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:54:36.432Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:54:38.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:54:38.370Z] 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. [2025-06-18T23:54:38.370Z] The best model improves the baseline by 14.52%. [2025-06-18T23:54:38.370Z] Top recommended movies for user id 72: [2025-06-18T23:54:38.370Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:54:38.370Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:54:38.370Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:54:38.370Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:54:38.370Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:54:38.370Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19464.061 ms) ====== [2025-06-18T23:54:38.370Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-18T23:54:39.329Z] GC before operation: completed in 167.639 ms, heap usage 438.376 MB -> 89.049 MB. [2025-06-18T23:54:41.264Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:54:44.250Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:54:47.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:54:50.267Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:54:52.214Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:54:54.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:54:56.248Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:54:58.255Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:54:58.255Z] 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. [2025-06-18T23:54:58.255Z] The best model improves the baseline by 14.52%. [2025-06-18T23:54:58.255Z] Top recommended movies for user id 72: [2025-06-18T23:54:58.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:54:58.255Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:54:58.255Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:54:58.255Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:54:58.255Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:54:58.255Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19791.195 ms) ====== [2025-06-18T23:54:58.255Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-18T23:54:59.210Z] GC before operation: completed in 186.649 ms, heap usage 452.387 MB -> 88.999 MB. [2025-06-18T23:55:02.208Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:55:05.236Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:55:08.223Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:55:11.218Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:55:13.155Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:55:15.088Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:55:17.021Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:55:18.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:55:18.965Z] 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. [2025-06-18T23:55:18.965Z] The best model improves the baseline by 14.52%. [2025-06-18T23:55:18.965Z] Top recommended movies for user id 72: [2025-06-18T23:55:18.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:55:18.965Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:55:18.965Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:55:18.965Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:55:18.965Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:55:18.965Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20522.307 ms) ====== [2025-06-18T23:55:18.965Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-18T23:55:19.932Z] GC before operation: completed in 196.551 ms, heap usage 496.419 MB -> 89.228 MB. [2025-06-18T23:55:22.913Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:55:25.915Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:55:28.979Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:55:31.965Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:55:34.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:55:35.918Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:55:37.851Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:55:39.782Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:55:39.782Z] 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. [2025-06-18T23:55:39.782Z] The best model improves the baseline by 14.52%. [2025-06-18T23:55:39.782Z] Top recommended movies for user id 72: [2025-06-18T23:55:39.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:55:39.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:55:39.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:55:39.782Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:55:39.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:55:39.782Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20492.199 ms) ====== [2025-06-18T23:55:39.782Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-18T23:55:39.782Z] GC before operation: completed in 181.953 ms, heap usage 95.779 MB -> 89.053 MB. [2025-06-18T23:55:43.887Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:55:46.934Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:55:50.049Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:55:53.043Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:55:54.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:55:56.927Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:55:58.910Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:56:00.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:56:00.848Z] 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. [2025-06-18T23:56:00.848Z] The best model improves the baseline by 14.52%. [2025-06-18T23:56:00.848Z] Top recommended movies for user id 72: [2025-06-18T23:56:00.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:56:00.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:56:00.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:56:00.848Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:56:00.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:56:00.848Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20670.291 ms) ====== [2025-06-18T23:56:00.848Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-18T23:56:00.848Z] GC before operation: completed in 197.166 ms, heap usage 180.798 MB -> 88.879 MB. [2025-06-18T23:56:03.838Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:56:07.949Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:56:10.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:56:13.929Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:56:15.863Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:56:17.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:56:19.730Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:56:21.699Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:56:21.699Z] 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. [2025-06-18T23:56:21.699Z] The best model improves the baseline by 14.52%. [2025-06-18T23:56:21.699Z] Top recommended movies for user id 72: [2025-06-18T23:56:21.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:56:21.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:56:21.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:56:21.699Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:56:21.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:56:21.699Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20618.936 ms) ====== [2025-06-18T23:56:21.699Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-18T23:56:21.699Z] GC before operation: completed in 163.271 ms, heap usage 302.086 MB -> 88.768 MB. [2025-06-18T23:56:24.702Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:56:27.701Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:56:30.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:56:33.683Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:56:35.618Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:56:37.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:56:39.502Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:56:41.439Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:56:41.439Z] 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. [2025-06-18T23:56:41.439Z] The best model improves the baseline by 14.52%. [2025-06-18T23:56:41.439Z] Top recommended movies for user id 72: [2025-06-18T23:56:41.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:56:41.440Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:56:41.440Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:56:41.440Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:56:41.440Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:56:41.440Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19565.127 ms) ====== [2025-06-18T23:56:41.440Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-18T23:56:41.440Z] GC before operation: completed in 176.111 ms, heap usage 352.693 MB -> 88.987 MB. [2025-06-18T23:56:44.432Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:56:47.420Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:56:50.577Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:56:53.587Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:56:55.584Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:56:56.549Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:56:58.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:57:00.437Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:57:01.380Z] 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. [2025-06-18T23:57:01.380Z] The best model improves the baseline by 14.52%. [2025-06-18T23:57:01.380Z] Top recommended movies for user id 72: [2025-06-18T23:57:01.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:57:01.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:57:01.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:57:01.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:57:01.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:57:01.380Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19540.281 ms) ====== [2025-06-18T23:57:01.380Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-18T23:57:01.380Z] GC before operation: completed in 194.563 ms, heap usage 309.769 MB -> 89.090 MB. [2025-06-18T23:57:04.402Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:57:07.388Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:57:10.386Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:57:13.429Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:57:14.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:57:16.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:57:19.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:57:19.956Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:57:20.914Z] 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. [2025-06-18T23:57:20.914Z] The best model improves the baseline by 14.52%. [2025-06-18T23:57:20.914Z] Top recommended movies for user id 72: [2025-06-18T23:57:20.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:57:20.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:57:20.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:57:20.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:57:20.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:57:20.914Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19337.019 ms) ====== [2025-06-18T23:57:20.914Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-18T23:57:20.914Z] GC before operation: completed in 165.561 ms, heap usage 329.255 MB -> 88.912 MB. [2025-06-18T23:57:23.901Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:57:26.883Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:57:29.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:57:32.876Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:57:33.835Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:57:35.773Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:57:37.705Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:57:39.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:57:39.639Z] 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. [2025-06-18T23:57:40.580Z] The best model improves the baseline by 14.52%. [2025-06-18T23:57:40.580Z] Top recommended movies for user id 72: [2025-06-18T23:57:40.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:57:40.580Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:57:40.580Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:57:40.580Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:57:40.580Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:57:40.580Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19411.649 ms) ====== [2025-06-18T23:57:40.580Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-18T23:57:40.580Z] GC before operation: completed in 178.391 ms, heap usage 183.388 MB -> 88.975 MB. [2025-06-18T23:57:43.573Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:57:46.561Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:57:49.543Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:57:52.538Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:57:53.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:57:55.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:57:57.360Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:57:59.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:57:59.303Z] 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. [2025-06-18T23:57:59.303Z] The best model improves the baseline by 14.52%. [2025-06-18T23:57:59.303Z] Top recommended movies for user id 72: [2025-06-18T23:57:59.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:57:59.303Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:57:59.303Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:57:59.303Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:57:59.303Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:57:59.303Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19197.383 ms) ====== [2025-06-18T23:57:59.303Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-18T23:58:00.244Z] GC before operation: completed in 185.708 ms, heap usage 421.245 MB -> 89.071 MB. [2025-06-18T23:58:03.232Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:58:06.235Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:58:09.218Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:58:11.159Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:58:13.100Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:58:15.939Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:58:16.898Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:58:18.836Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:58:18.836Z] 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. [2025-06-18T23:58:18.836Z] The best model improves the baseline by 14.52%. [2025-06-18T23:58:19.776Z] Top recommended movies for user id 72: [2025-06-18T23:58:19.776Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:58:19.776Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:58:19.776Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:58:19.776Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:58:19.776Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:58:19.776Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19486.268 ms) ====== [2025-06-18T23:58:19.776Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-18T23:58:19.776Z] GC before operation: completed in 173.382 ms, heap usage 239.007 MB -> 88.918 MB. [2025-06-18T23:58:21.713Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:58:24.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:58:27.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:58:30.688Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:58:31.629Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:58:33.566Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:58:35.509Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:58:36.452Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:58:37.397Z] 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. [2025-06-18T23:58:37.397Z] The best model improves the baseline by 14.52%. [2025-06-18T23:58:37.397Z] Top recommended movies for user id 72: [2025-06-18T23:58:37.397Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:58:37.397Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:58:37.397Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:58:37.397Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:58:37.397Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:58:37.397Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17672.490 ms) ====== [2025-06-18T23:58:37.397Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-18T23:58:37.397Z] GC before operation: completed in 174.326 ms, heap usage 338.550 MB -> 88.951 MB. [2025-06-18T23:58:40.385Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:58:43.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:58:46.356Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:58:49.365Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:58:50.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:58:52.244Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:58:55.017Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:58:55.958Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:58:56.900Z] 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. [2025-06-18T23:58:56.900Z] The best model improves the baseline by 14.52%. [2025-06-18T23:58:56.900Z] Top recommended movies for user id 72: [2025-06-18T23:58:56.900Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:58:56.900Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:58:56.900Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:58:56.900Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:58:56.900Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:58:56.900Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19323.400 ms) ====== [2025-06-18T23:58:56.900Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-18T23:58:56.900Z] GC before operation: completed in 185.117 ms, heap usage 132.778 MB -> 88.797 MB. [2025-06-18T23:58:59.900Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T23:59:02.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T23:59:05.879Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T23:59:08.869Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T23:59:10.809Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T23:59:13.963Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T23:59:13.963Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T23:59:15.898Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T23:59:15.898Z] 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. [2025-06-18T23:59:15.898Z] The best model improves the baseline by 14.52%. [2025-06-18T23:59:16.840Z] Top recommended movies for user id 72: [2025-06-18T23:59:16.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T23:59:16.840Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T23:59:16.840Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T23:59:16.840Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T23:59:16.840Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T23:59:16.840Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19574.962 ms) ====== [2025-06-18T23:59:16.840Z] ----------------------------------- [2025-06-18T23:59:16.840Z] renaissance-movie-lens_0_PASSED [2025-06-18T23:59:16.840Z] ----------------------------------- [2025-06-18T23:59:16.840Z] [2025-06-18T23:59:16.840Z] TEST TEARDOWN: [2025-06-18T23:59:16.840Z] Nothing to be done for teardown. [2025-06-18T23:59:16.840Z] renaissance-movie-lens_0 Finish Time: Wed Jun 18 23:59:16 2025 Epoch Time (ms): 1750291156424