[2025-06-29T22:42:27.480Z] Running test renaissance-movie-lens_0 ... [2025-06-29T22:42:27.480Z] =============================================== [2025-06-29T22:42:27.803Z] renaissance-movie-lens_0 Start Time: Sun Jun 29 22:42:27 2025 Epoch Time (ms): 1751236947562 [2025-06-29T22:42:27.803Z] variation: NoOptions [2025-06-29T22:42:28.127Z] JVM_OPTIONS: [2025-06-29T22:42:28.127Z] { \ [2025-06-29T22:42:28.127Z] echo ""; echo "TEST SETUP:"; \ [2025-06-29T22:42:28.127Z] echo "Nothing to be done for setup."; \ [2025-06-29T22:42:28.127Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17512353965472\\renaissance-movie-lens_0"; \ [2025-06-29T22:42:28.127Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17512353965472\\renaissance-movie-lens_0"; \ [2025-06-29T22:42:28.127Z] echo ""; echo "TESTING:"; \ [2025-06-29T22:42:28.127Z] "c:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17512353965472\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-06-29T22:42:28.127Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17512353965472\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-29T22:42:28.127Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-29T22:42:28.127Z] echo "Nothing to be done for teardown."; \ [2025-06-29T22:42:28.127Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17512353965472\\TestTargetResult"; [2025-06-29T22:42:28.127Z] [2025-06-29T22:42:28.127Z] TEST SETUP: [2025-06-29T22:42:28.127Z] Nothing to be done for setup. [2025-06-29T22:42:28.127Z] [2025-06-29T22:42:28.127Z] TESTING: [2025-06-29T22:42:43.724Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-29T22:42:49.578Z] 22:42:49.010 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-29T22:42:51.942Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-29T22:42:52.301Z] Training: 60056, validation: 20285, test: 19854 [2025-06-29T22:42:52.301Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-29T22:42:52.301Z] GC before operation: completed in 125.656 ms, heap usage 240.729 MB -> 76.346 MB. [2025-06-29T22:43:05.354Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:43:14.098Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:43:22.802Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:43:31.495Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:43:35.194Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:43:40.930Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:43:45.520Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:43:50.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:43:50.165Z] 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. [2025-06-29T22:43:50.165Z] The best model improves the baseline by 14.52%. [2025-06-29T22:43:50.502Z] Top recommended movies for user id 72: [2025-06-29T22:43:50.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:43:50.502Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:43:50.502Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:43:50.502Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:43:50.502Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:43:50.502Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (58344.950 ms) ====== [2025-06-29T22:43:50.502Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-29T22:43:50.827Z] GC before operation: completed in 124.243 ms, heap usage 335.831 MB -> 88.764 MB. [2025-06-29T22:43:57.914Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:44:06.600Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:44:15.274Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:44:22.377Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:44:25.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:44:29.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:44:34.466Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:44:38.123Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:44:38.829Z] 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. [2025-06-29T22:44:38.829Z] The best model improves the baseline by 14.52%. [2025-06-29T22:44:39.155Z] Top recommended movies for user id 72: [2025-06-29T22:44:39.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:44:39.155Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:44:39.155Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:44:39.155Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:44:39.155Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:44:39.155Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (48507.108 ms) ====== [2025-06-29T22:44:39.155Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-29T22:44:39.155Z] GC before operation: completed in 117.596 ms, heap usage 198.076 MB -> 90.166 MB. [2025-06-29T22:44:47.869Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:44:53.599Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:45:02.390Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:45:09.461Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:45:13.116Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:45:17.718Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:45:22.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:45:25.949Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:45:26.269Z] 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. [2025-06-29T22:45:26.269Z] The best model improves the baseline by 14.52%. [2025-06-29T22:45:26.594Z] Top recommended movies for user id 72: [2025-06-29T22:45:26.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:45:26.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:45:26.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:45:26.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:45:26.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:45:26.594Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (47252.428 ms) ====== [2025-06-29T22:45:26.594Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-29T22:45:26.594Z] GC before operation: completed in 122.691 ms, heap usage 541.999 MB -> 90.162 MB. [2025-06-29T22:45:33.684Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:45:40.760Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:45:49.474Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:45:55.213Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:45:59.803Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:46:03.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:46:08.084Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:46:12.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:46:12.783Z] 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. [2025-06-29T22:46:12.783Z] The best model improves the baseline by 14.52%. [2025-06-29T22:46:13.105Z] Top recommended movies for user id 72: [2025-06-29T22:46:13.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:46:13.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:46:13.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:46:13.105Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:46:13.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:46:13.105Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (46193.260 ms) ====== [2025-06-29T22:46:13.105Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-29T22:46:13.105Z] GC before operation: completed in 112.586 ms, heap usage 204.309 MB -> 91.834 MB. [2025-06-29T22:46:20.181Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:46:27.290Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:46:36.002Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:46:41.763Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:46:46.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:46:50.987Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:46:55.621Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:46:59.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:46:59.980Z] 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. [2025-06-29T22:46:59.980Z] The best model improves the baseline by 14.52%. [2025-06-29T22:47:00.300Z] Top recommended movies for user id 72: [2025-06-29T22:47:00.300Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:47:00.300Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:47:00.300Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:47:00.300Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:47:00.300Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:47:00.300Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (47274.529 ms) ====== [2025-06-29T22:47:00.300Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-29T22:47:00.300Z] GC before operation: completed in 119.076 ms, heap usage 232.520 MB -> 89.904 MB. [2025-06-29T22:47:09.007Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:47:14.748Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:47:23.445Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:47:30.537Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:47:34.201Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:47:37.858Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:47:42.475Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:47:47.083Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:47:47.083Z] 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. [2025-06-29T22:47:47.083Z] The best model improves the baseline by 14.52%. [2025-06-29T22:47:47.422Z] Top recommended movies for user id 72: [2025-06-29T22:47:47.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:47:47.422Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:47:47.422Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:47:47.422Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:47:47.422Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:47:47.422Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (47027.715 ms) ====== [2025-06-29T22:47:47.422Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-29T22:47:47.422Z] GC before operation: completed in 116.090 ms, heap usage 293.334 MB -> 90.384 MB. [2025-06-29T22:47:54.517Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:48:01.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:48:10.357Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:48:17.431Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:48:21.097Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:48:24.754Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:48:29.371Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:48:34.032Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:48:34.032Z] 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. [2025-06-29T22:48:34.032Z] The best model improves the baseline by 14.52%. [2025-06-29T22:48:34.354Z] Top recommended movies for user id 72: [2025-06-29T22:48:34.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:48:34.354Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:48:34.354Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:48:34.354Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:48:34.354Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:48:34.354Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (46854.399 ms) ====== [2025-06-29T22:48:34.354Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-29T22:48:34.354Z] GC before operation: completed in 109.819 ms, heap usage 243.149 MB -> 90.250 MB. [2025-06-29T22:48:41.455Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:48:48.509Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:48:57.204Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:49:04.285Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:49:07.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:49:11.664Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:49:16.304Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:49:20.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:49:20.937Z] 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. [2025-06-29T22:49:20.937Z] The best model improves the baseline by 14.52%. [2025-06-29T22:49:21.277Z] Top recommended movies for user id 72: [2025-06-29T22:49:21.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:49:21.277Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:49:21.277Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:49:21.277Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:49:21.277Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:49:21.277Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (46850.700 ms) ====== [2025-06-29T22:49:21.277Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-29T22:49:21.606Z] GC before operation: completed in 119.155 ms, heap usage 118.352 MB -> 90.281 MB. [2025-06-29T22:49:28.706Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:49:35.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:49:44.537Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:49:51.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:49:55.252Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:49:58.940Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:50:04.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:50:08.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:50:08.392Z] 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. [2025-06-29T22:50:08.392Z] The best model improves the baseline by 14.52%. [2025-06-29T22:50:08.742Z] Top recommended movies for user id 72: [2025-06-29T22:50:08.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:50:08.742Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:50:08.742Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:50:08.742Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:50:08.742Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:50:08.742Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (47354.686 ms) ====== [2025-06-29T22:50:08.742Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-29T22:50:09.064Z] GC before operation: completed in 116.850 ms, heap usage 244.919 MB -> 90.189 MB. [2025-06-29T22:50:16.152Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:50:23.259Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:50:31.948Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:50:39.025Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:50:42.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:50:46.374Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:50:50.987Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:50:55.601Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:50:55.601Z] 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. [2025-06-29T22:50:55.601Z] The best model improves the baseline by 14.52%. [2025-06-29T22:50:55.921Z] Top recommended movies for user id 72: [2025-06-29T22:50:55.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:50:55.921Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:50:55.921Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:50:55.921Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:50:55.921Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:50:55.921Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (46882.342 ms) ====== [2025-06-29T22:50:55.921Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-29T22:50:55.921Z] GC before operation: completed in 118.786 ms, heap usage 121.477 MB -> 90.372 MB. [2025-06-29T22:51:03.017Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:51:10.120Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:51:18.793Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:51:24.551Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:51:29.159Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:51:32.859Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:51:37.531Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:51:41.220Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:51:41.906Z] 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. [2025-06-29T22:51:41.906Z] The best model improves the baseline by 14.52%. [2025-06-29T22:51:42.230Z] Top recommended movies for user id 72: [2025-06-29T22:51:42.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:51:42.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:51:42.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:51:42.230Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:51:42.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:51:42.230Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (46331.634 ms) ====== [2025-06-29T22:51:42.230Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-29T22:51:42.230Z] GC before operation: completed in 110.934 ms, heap usage 244.139 MB -> 90.179 MB. [2025-06-29T22:51:49.327Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:51:58.025Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:52:05.109Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:52:12.207Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:52:15.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:52:19.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:52:24.201Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:52:28.808Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:52:28.808Z] 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. [2025-06-29T22:52:28.808Z] The best model improves the baseline by 14.52%. [2025-06-29T22:52:29.130Z] Top recommended movies for user id 72: [2025-06-29T22:52:29.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:52:29.130Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:52:29.130Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:52:29.130Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:52:29.130Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:52:29.130Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (46678.389 ms) ====== [2025-06-29T22:52:29.130Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-29T22:52:29.130Z] GC before operation: completed in 115.553 ms, heap usage 118.344 MB -> 90.324 MB. [2025-06-29T22:52:36.211Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:52:43.292Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:52:51.970Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:52:59.075Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:53:01.915Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:53:06.516Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:53:11.127Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:53:14.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:53:15.100Z] 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. [2025-06-29T22:53:15.100Z] The best model improves the baseline by 14.52%. [2025-06-29T22:53:15.459Z] Top recommended movies for user id 72: [2025-06-29T22:53:15.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:53:15.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:53:15.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:53:15.459Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:53:15.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:53:15.459Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (46357.393 ms) ====== [2025-06-29T22:53:15.459Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-29T22:53:15.795Z] GC before operation: completed in 117.399 ms, heap usage 294.309 MB -> 90.702 MB. [2025-06-29T22:53:24.484Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:53:30.254Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:53:38.994Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:53:46.065Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:53:48.929Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:53:53.519Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:53:58.154Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:54:01.831Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:54:02.601Z] 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. [2025-06-29T22:54:02.601Z] The best model improves the baseline by 14.52%. [2025-06-29T22:54:02.601Z] Top recommended movies for user id 72: [2025-06-29T22:54:02.601Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:54:02.601Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:54:02.601Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:54:02.601Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:54:02.601Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:54:02.601Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (47026.945 ms) ====== [2025-06-29T22:54:02.601Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-29T22:54:02.908Z] GC before operation: completed in 113.999 ms, heap usage 211.037 MB -> 90.415 MB. [2025-06-29T22:54:09.975Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:54:17.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:54:25.807Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:54:32.883Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:54:35.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:54:40.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:54:44.941Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:54:48.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:54:48.926Z] 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. [2025-06-29T22:54:48.926Z] The best model improves the baseline by 14.52%. [2025-06-29T22:54:49.246Z] Top recommended movies for user id 72: [2025-06-29T22:54:49.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:54:49.246Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:54:49.246Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:54:49.246Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:54:49.246Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:54:49.246Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (46422.203 ms) ====== [2025-06-29T22:54:49.247Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-29T22:54:49.247Z] GC before operation: completed in 116.045 ms, heap usage 214.826 MB -> 90.535 MB. [2025-06-29T22:54:56.332Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:55:03.438Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:55:12.124Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:55:17.856Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:55:22.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:55:26.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:55:30.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:55:34.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:55:35.179Z] 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. [2025-06-29T22:55:35.179Z] The best model improves the baseline by 14.52%. [2025-06-29T22:55:35.179Z] Top recommended movies for user id 72: [2025-06-29T22:55:35.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:55:35.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:55:35.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:55:35.179Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:55:35.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:55:35.179Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (45886.698 ms) ====== [2025-06-29T22:55:35.179Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-29T22:55:35.512Z] GC before operation: completed in 116.661 ms, heap usage 308.000 MB -> 90.612 MB. [2025-06-29T22:55:42.599Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:55:49.670Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:55:58.346Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:56:04.103Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:56:08.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:56:12.427Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:56:17.029Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:56:20.700Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:56:21.019Z] 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. [2025-06-29T22:56:21.019Z] The best model improves the baseline by 14.52%. [2025-06-29T22:56:21.347Z] Top recommended movies for user id 72: [2025-06-29T22:56:21.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:56:21.347Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:56:21.347Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:56:21.347Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:56:21.347Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:56:21.347Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (46059.294 ms) ====== [2025-06-29T22:56:21.347Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-29T22:56:21.677Z] GC before operation: completed in 111.315 ms, heap usage 121.760 MB -> 90.440 MB. [2025-06-29T22:56:28.777Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:56:35.890Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:56:44.615Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:56:50.365Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:56:54.970Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:56:58.636Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:57:03.244Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:57:06.909Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:57:07.590Z] 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. [2025-06-29T22:57:07.590Z] The best model improves the baseline by 14.52%. [2025-06-29T22:57:07.952Z] Top recommended movies for user id 72: [2025-06-29T22:57:07.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:57:07.953Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:57:07.953Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:57:07.953Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:57:07.953Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:57:07.953Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (46259.560 ms) ====== [2025-06-29T22:57:07.953Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-29T22:57:07.953Z] GC before operation: completed in 114.631 ms, heap usage 118.743 MB -> 90.233 MB. [2025-06-29T22:57:15.034Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:57:22.091Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:57:29.179Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:57:36.264Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:57:39.902Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:57:43.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:57:48.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:57:51.845Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:57:52.639Z] 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. [2025-06-29T22:57:52.639Z] The best model improves the baseline by 14.52%. [2025-06-29T22:57:52.639Z] Top recommended movies for user id 72: [2025-06-29T22:57:52.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:57:52.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:57:52.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:57:52.639Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:57:52.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:57:52.639Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (44820.993 ms) ====== [2025-06-29T22:57:52.639Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-29T22:57:52.980Z] GC before operation: completed in 120.384 ms, heap usage 705.859 MB -> 94.396 MB. [2025-06-29T22:58:00.054Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:58:07.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:58:15.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:58:21.563Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:58:26.218Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:58:29.865Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:58:34.485Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:58:38.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:58:38.479Z] 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. [2025-06-29T22:58:38.479Z] The best model improves the baseline by 14.52%. [2025-06-29T22:58:38.805Z] Top recommended movies for user id 72: [2025-06-29T22:58:38.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:58:38.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:58:38.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:58:38.805Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:58:38.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:58:38.805Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (46024.676 ms) ====== [2025-06-29T22:58:39.489Z] ----------------------------------- [2025-06-29T22:58:39.489Z] renaissance-movie-lens_0_PASSED [2025-06-29T22:58:39.489Z] ----------------------------------- [2025-06-29T22:58:39.812Z] [2025-06-29T22:58:39.812Z] TEST TEARDOWN: [2025-06-29T22:58:39.812Z] Nothing to be done for teardown. [2025-06-29T22:58:40.120Z] renaissance-movie-lens_0 Finish Time: Sun Jun 29 22:58:39 2025 Epoch Time (ms): 1751237919859