[2025-03-26T21:42:29.822Z] Running test renaissance-movie-lens_0 ... [2025-03-26T21:42:29.822Z] =============================================== [2025-03-26T21:42:29.822Z] renaissance-movie-lens_0 Start Time: Wed Mar 26 21:42:28 2025 Epoch Time (ms): 1743025348956 [2025-03-26T21:42:29.822Z] variation: NoOptions [2025-03-26T21:42:29.822Z] JVM_OPTIONS: [2025-03-26T21:42:29.822Z] { \ [2025-03-26T21:42:29.822Z] echo ""; echo "TEST SETUP:"; \ [2025-03-26T21:42:29.822Z] echo "Nothing to be done for setup."; \ [2025-03-26T21:42:29.822Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17430240833438/renaissance-movie-lens_0"; \ [2025-03-26T21:42:29.822Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17430240833438/renaissance-movie-lens_0"; \ [2025-03-26T21:42:29.822Z] echo ""; echo "TESTING:"; \ [2025-03-26T21:42:29.822Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17430240833438/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-03-26T21:42:29.822Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17430240833438/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-03-26T21:42:29.822Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-03-26T21:42:29.822Z] echo "Nothing to be done for teardown."; \ [2025-03-26T21:42:29.822Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17430240833438/TestTargetResult"; [2025-03-26T21:42:29.822Z] [2025-03-26T21:42:29.822Z] TEST SETUP: [2025-03-26T21:42:29.822Z] Nothing to be done for setup. [2025-03-26T21:42:29.822Z] [2025-03-26T21:42:29.822Z] TESTING: [2025-03-26T21:42:35.184Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-03-26T21:42:41.856Z] 21:42:40.511 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. [2025-03-26T21:42:42.818Z] Got 100004 ratings from 671 users on 9066 movies. [2025-03-26T21:42:43.766Z] Training: 60056, validation: 20285, test: 19854 [2025-03-26T21:42:43.766Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-03-26T21:42:43.766Z] GC before operation: completed in 157.121 ms, heap usage 369.082 MB -> 75.840 MB. [2025-03-26T21:42:49.125Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:42:53.277Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:42:56.986Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:42:59.108Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:43:01.059Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:43:02.007Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:43:03.954Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:43:05.909Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:43:05.909Z] 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. [2025-03-26T21:43:05.909Z] The best model improves the baseline by 14.52%. [2025-03-26T21:43:05.909Z] Top recommended movies for user id 72: [2025-03-26T21:43:05.909Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:43:05.909Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:43:05.909Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:43:05.909Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:43:05.909Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:43:05.909Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22480.375 ms) ====== [2025-03-26T21:43:05.909Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-03-26T21:43:06.860Z] GC before operation: completed in 140.378 ms, heap usage 217.156 MB -> 98.869 MB. [2025-03-26T21:43:09.937Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:43:11.886Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:43:14.892Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:43:16.851Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:43:18.798Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:43:20.751Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:43:21.701Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:43:23.653Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:43:23.654Z] 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. [2025-03-26T21:43:23.654Z] The best model improves the baseline by 14.52%. [2025-03-26T21:43:23.654Z] Top recommended movies for user id 72: [2025-03-26T21:43:23.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:43:23.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:43:23.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:43:23.654Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:43:23.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:43:23.654Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17455.980 ms) ====== [2025-03-26T21:43:23.654Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-03-26T21:43:23.654Z] GC before operation: completed in 129.411 ms, heap usage 133.210 MB -> 88.518 MB. [2025-03-26T21:43:26.664Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:43:28.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:43:31.263Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:43:34.275Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:43:35.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:43:36.173Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:43:38.122Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:43:40.067Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:43:40.067Z] 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. [2025-03-26T21:43:40.067Z] The best model improves the baseline by 14.52%. [2025-03-26T21:43:40.067Z] Top recommended movies for user id 72: [2025-03-26T21:43:40.067Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:43:40.067Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:43:40.067Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:43:40.067Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:43:40.068Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:43:40.068Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16282.389 ms) ====== [2025-03-26T21:43:40.068Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-03-26T21:43:40.068Z] GC before operation: completed in 134.393 ms, heap usage 527.094 MB -> 95.301 MB. [2025-03-26T21:43:43.073Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:43:46.084Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:43:48.035Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:43:51.041Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:43:51.991Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:43:53.951Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:43:55.902Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:43:56.851Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:43:56.851Z] 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. [2025-03-26T21:43:56.851Z] The best model improves the baseline by 14.52%. [2025-03-26T21:43:57.801Z] Top recommended movies for user id 72: [2025-03-26T21:43:57.801Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:43:57.801Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:43:57.801Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:43:57.801Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:43:57.801Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:43:57.801Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17022.609 ms) ====== [2025-03-26T21:43:57.801Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-03-26T21:43:57.801Z] GC before operation: completed in 123.900 ms, heap usage 298.819 MB -> 93.122 MB. [2025-03-26T21:44:00.806Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:44:02.760Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:44:06.343Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:44:08.292Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:44:09.246Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:44:11.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:44:12.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:44:14.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:44:14.093Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-03-26T21:44:14.093Z] The best model improves the baseline by 14.52%. [2025-03-26T21:44:14.093Z] Top recommended movies for user id 72: [2025-03-26T21:44:14.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:44:14.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:44:14.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:44:14.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:44:14.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:44:14.093Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16649.917 ms) ====== [2025-03-26T21:44:14.093Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-03-26T21:44:14.093Z] GC before operation: completed in 130.273 ms, heap usage 672.639 MB -> 95.579 MB. [2025-03-26T21:44:17.108Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:44:19.056Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:44:21.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:44:24.027Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:44:24.976Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:44:25.931Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:44:27.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:44:28.835Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:44:29.784Z] 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. [2025-03-26T21:44:29.784Z] The best model improves the baseline by 14.52%. [2025-03-26T21:44:29.784Z] Top recommended movies for user id 72: [2025-03-26T21:44:29.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:44:29.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:44:29.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:44:29.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:44:29.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:44:29.784Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15372.663 ms) ====== [2025-03-26T21:44:29.784Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-03-26T21:44:29.784Z] GC before operation: completed in 143.610 ms, heap usage 470.111 MB -> 92.531 MB. [2025-03-26T21:44:32.787Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:44:34.741Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:44:37.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:44:39.699Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:44:41.650Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:44:42.688Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:44:44.462Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:44:45.417Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:44:45.417Z] 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. [2025-03-26T21:44:45.417Z] The best model improves the baseline by 14.52%. [2025-03-26T21:44:45.417Z] Top recommended movies for user id 72: [2025-03-26T21:44:45.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:44:45.417Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:44:45.417Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:44:45.417Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:44:45.417Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:44:45.417Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15932.107 ms) ====== [2025-03-26T21:44:45.417Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-03-26T21:44:46.366Z] GC before operation: completed in 127.287 ms, heap usage 236.896 MB -> 94.637 MB. [2025-03-26T21:44:48.333Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:44:50.287Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:44:52.238Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:44:55.249Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:44:56.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:44:57.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:44:59.098Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:45:00.047Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:45:00.048Z] 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. [2025-03-26T21:45:00.048Z] The best model improves the baseline by 14.52%. [2025-03-26T21:45:00.996Z] Top recommended movies for user id 72: [2025-03-26T21:45:00.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:45:00.996Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:45:00.996Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:45:00.996Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:45:00.996Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:45:00.996Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14608.267 ms) ====== [2025-03-26T21:45:00.996Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-03-26T21:45:00.996Z] GC before operation: completed in 205.266 ms, heap usage 532.596 MB -> 93.883 MB. [2025-03-26T21:45:02.943Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:45:04.903Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:45:07.913Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:45:09.863Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:45:10.812Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:45:12.765Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:45:13.716Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:45:15.670Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:45:15.670Z] 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. [2025-03-26T21:45:15.670Z] The best model improves the baseline by 14.52%. [2025-03-26T21:45:15.670Z] Top recommended movies for user id 72: [2025-03-26T21:45:15.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:45:15.670Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:45:15.670Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:45:15.670Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:45:15.670Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:45:15.670Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15147.872 ms) ====== [2025-03-26T21:45:15.670Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-03-26T21:45:15.670Z] GC before operation: completed in 144.342 ms, heap usage 175.060 MB -> 94.538 MB. [2025-03-26T21:45:18.069Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:45:21.079Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:45:23.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:45:24.979Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:45:26.927Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:45:27.876Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:45:29.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:45:30.790Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:45:30.790Z] 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. [2025-03-26T21:45:31.747Z] The best model improves the baseline by 14.52%. [2025-03-26T21:45:31.747Z] Top recommended movies for user id 72: [2025-03-26T21:45:31.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:45:31.747Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:45:31.747Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:45:31.747Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:45:31.747Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:45:31.747Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15340.046 ms) ====== [2025-03-26T21:45:31.747Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-03-26T21:45:31.747Z] GC before operation: completed in 186.678 ms, heap usage 517.844 MB -> 93.765 MB. [2025-03-26T21:45:34.752Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:45:36.698Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:45:38.649Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:45:40.597Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:45:42.546Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:45:43.495Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:45:45.449Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:45:46.416Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:45:46.416Z] 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. [2025-03-26T21:45:46.416Z] The best model improves the baseline by 14.52%. [2025-03-26T21:45:46.416Z] Top recommended movies for user id 72: [2025-03-26T21:45:46.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:45:46.416Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:45:46.416Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:45:46.416Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:45:46.416Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:45:46.416Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15250.944 ms) ====== [2025-03-26T21:45:46.416Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-03-26T21:45:47.365Z] GC before operation: completed in 195.234 ms, heap usage 269.740 MB -> 90.009 MB. [2025-03-26T21:45:49.315Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:45:51.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:45:54.983Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:45:55.932Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:45:57.887Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:45:58.837Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:45:59.786Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:46:01.736Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:46:01.736Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-03-26T21:46:01.736Z] The best model improves the baseline by 14.52%. [2025-03-26T21:46:01.736Z] Top recommended movies for user id 72: [2025-03-26T21:46:01.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:46:01.736Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:46:01.736Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:46:01.736Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:46:01.736Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:46:01.736Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14886.768 ms) ====== [2025-03-26T21:46:01.736Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-03-26T21:46:01.736Z] GC before operation: completed in 131.270 ms, heap usage 539.625 MB -> 96.220 MB. [2025-03-26T21:46:04.768Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:46:06.713Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:46:08.669Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:46:10.615Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:46:12.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:46:13.517Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:46:15.467Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:46:16.418Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:46:16.418Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-03-26T21:46:16.418Z] The best model improves the baseline by 14.52%. [2025-03-26T21:46:16.418Z] Top recommended movies for user id 72: [2025-03-26T21:46:16.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:46:16.418Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:46:16.418Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:46:16.418Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:46:16.418Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:46:16.418Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14689.393 ms) ====== [2025-03-26T21:46:16.418Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-03-26T21:46:17.369Z] GC before operation: completed in 130.601 ms, heap usage 432.602 MB -> 91.843 MB. [2025-03-26T21:46:19.321Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:46:21.981Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:46:23.929Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:46:25.876Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:46:28.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:46:28.949Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:46:29.897Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:46:31.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:46:31.848Z] 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. [2025-03-26T21:46:31.848Z] The best model improves the baseline by 14.52%. [2025-03-26T21:46:31.848Z] Top recommended movies for user id 72: [2025-03-26T21:46:31.848Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:46:31.848Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:46:31.848Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:46:31.848Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:46:31.848Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:46:31.848Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15175.285 ms) ====== [2025-03-26T21:46:31.848Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-03-26T21:46:31.848Z] GC before operation: completed in 130.466 ms, heap usage 128.788 MB -> 94.436 MB. [2025-03-26T21:46:34.864Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:46:36.820Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:46:38.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:46:40.719Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:46:42.668Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:46:43.617Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:46:45.570Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:46:46.521Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:46:46.521Z] 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. [2025-03-26T21:46:47.471Z] The best model improves the baseline by 14.52%. [2025-03-26T21:46:47.471Z] Top recommended movies for user id 72: [2025-03-26T21:46:47.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:46:47.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:46:47.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:46:47.471Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:46:47.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:46:47.471Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14985.375 ms) ====== [2025-03-26T21:46:47.471Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-03-26T21:46:47.471Z] GC before operation: completed in 152.247 ms, heap usage 176.574 MB -> 96.010 MB. [2025-03-26T21:46:49.420Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:46:51.368Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:46:54.374Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:46:56.324Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:46:57.273Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:46:59.223Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:47:00.173Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:47:01.833Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:47:01.833Z] 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. [2025-03-26T21:47:01.833Z] The best model improves the baseline by 14.52%. [2025-03-26T21:47:01.833Z] Top recommended movies for user id 72: [2025-03-26T21:47:01.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:47:01.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:47:01.833Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:47:01.833Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:47:01.833Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:47:01.833Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14842.198 ms) ====== [2025-03-26T21:47:01.833Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-03-26T21:47:02.783Z] GC before operation: completed in 125.878 ms, heap usage 263.257 MB -> 94.842 MB. [2025-03-26T21:47:04.734Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:47:06.687Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:47:09.694Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:47:11.651Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:47:12.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:47:13.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:47:15.502Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:47:16.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:47:16.451Z] 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. [2025-03-26T21:47:16.451Z] The best model improves the baseline by 14.52%. [2025-03-26T21:47:16.451Z] Top recommended movies for user id 72: [2025-03-26T21:47:16.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:47:16.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:47:16.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:47:16.451Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:47:16.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:47:16.451Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14554.303 ms) ====== [2025-03-26T21:47:16.451Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-03-26T21:47:17.401Z] GC before operation: completed in 122.230 ms, heap usage 132.685 MB -> 97.749 MB. [2025-03-26T21:47:19.350Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:47:21.327Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:47:23.275Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:47:25.224Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:47:27.174Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:47:28.122Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:47:30.072Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:47:31.025Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:47:31.025Z] 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. [2025-03-26T21:47:31.025Z] The best model improves the baseline by 14.52%. [2025-03-26T21:47:31.025Z] Top recommended movies for user id 72: [2025-03-26T21:47:31.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:47:31.025Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:47:31.025Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:47:31.025Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:47:31.025Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:47:31.025Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14443.235 ms) ====== [2025-03-26T21:47:31.025Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-03-26T21:47:31.973Z] GC before operation: completed in 142.768 ms, heap usage 305.197 MB -> 92.670 MB. [2025-03-26T21:47:34.618Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:47:36.573Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:47:38.524Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:47:40.473Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:47:42.423Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:47:43.372Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:47:45.324Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:47:46.274Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:47:46.274Z] 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. [2025-03-26T21:47:46.274Z] The best model improves the baseline by 14.52%. [2025-03-26T21:47:47.225Z] Top recommended movies for user id 72: [2025-03-26T21:47:47.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:47:47.225Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:47:47.225Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:47:47.225Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:47:47.225Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:47:47.225Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15235.817 ms) ====== [2025-03-26T21:47:47.225Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-03-26T21:47:47.225Z] GC before operation: completed in 130.036 ms, heap usage 584.835 MB -> 94.005 MB. [2025-03-26T21:47:49.177Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-03-26T21:47:51.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-03-26T21:47:53.125Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-03-26T21:47:55.073Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-03-26T21:47:57.024Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-03-26T21:47:57.975Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-03-26T21:47:59.926Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-03-26T21:48:00.886Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-03-26T21:48:00.886Z] 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. [2025-03-26T21:48:00.886Z] The best model improves the baseline by 14.52%. [2025-03-26T21:48:00.886Z] Top recommended movies for user id 72: [2025-03-26T21:48:00.886Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-03-26T21:48:00.886Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-03-26T21:48:00.886Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-03-26T21:48:00.886Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-03-26T21:48:00.886Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-03-26T21:48:00.886Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14276.203 ms) ====== [2025-03-26T21:48:01.837Z] ----------------------------------- [2025-03-26T21:48:01.837Z] renaissance-movie-lens_0_PASSED [2025-03-26T21:48:01.837Z] ----------------------------------- [2025-03-26T21:48:01.837Z] [2025-03-26T21:48:01.837Z] TEST TEARDOWN: [2025-03-26T21:48:01.837Z] Nothing to be done for teardown. [2025-03-26T21:48:01.837Z] renaissance-movie-lens_0 Finish Time: Wed Mar 26 21:48:01 2025 Epoch Time (ms): 1743025681282