[2025-07-01T07:36:31.722Z] Running test renaissance-movie-lens_0 ... [2025-07-01T07:36:31.722Z] =============================================== [2025-07-01T07:36:31.722Z] renaissance-movie-lens_0 Start Time: Tue Jul 1 07:36:30 2025 Epoch Time (ms): 1751355390889 [2025-07-01T07:36:31.722Z] variation: NoOptions [2025-07-01T07:36:31.722Z] JVM_OPTIONS: [2025-07-01T07:36:31.722Z] { \ [2025-07-01T07:36:31.722Z] echo ""; echo "TEST SETUP:"; \ [2025-07-01T07:36:31.722Z] echo "Nothing to be done for setup."; \ [2025-07-01T07:36:31.722Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17513538659840/renaissance-movie-lens_0"; \ [2025-07-01T07:36:31.722Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17513538659840/renaissance-movie-lens_0"; \ [2025-07-01T07:36:31.722Z] echo ""; echo "TESTING:"; \ [2025-07-01T07:36:31.722Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/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_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17513538659840/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-01T07:36:31.722Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17513538659840/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-01T07:36:31.722Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-01T07:36:31.722Z] echo "Nothing to be done for teardown."; \ [2025-07-01T07:36:31.722Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17513538659840/TestTargetResult"; [2025-07-01T07:36:31.722Z] [2025-07-01T07:36:31.723Z] TEST SETUP: [2025-07-01T07:36:31.723Z] Nothing to be done for setup. [2025-07-01T07:36:31.723Z] [2025-07-01T07:36:31.723Z] TESTING: [2025-07-01T07:36:46.634Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-01T07:37:13.228Z] 07:37:11.196 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-07-01T07:37:20.461Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-01T07:37:22.137Z] Training: 60056, validation: 20285, test: 19854 [2025-07-01T07:37:22.137Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-01T07:37:22.966Z] GC before operation: completed in 430.304 ms, heap usage 342.795 MB -> 75.878 MB. [2025-07-01T07:37:46.559Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:38:01.061Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:38:15.490Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:38:25.948Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:38:34.727Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:38:42.044Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:38:48.168Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:38:52.933Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:38:54.650Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:38:54.650Z] The best model improves the baseline by 14.52%. [2025-07-01T07:38:55.493Z] Top recommended movies for user id 72: [2025-07-01T07:38:55.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:38:55.493Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:38:55.493Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:38:55.493Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:38:55.493Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:38:55.493Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (92824.450 ms) ====== [2025-07-01T07:38:55.493Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-01T07:38:56.333Z] GC before operation: completed in 499.402 ms, heap usage 300.707 MB -> 86.552 MB. [2025-07-01T07:39:05.090Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:39:16.085Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:39:26.478Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:39:36.774Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:39:42.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:39:48.890Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:39:54.890Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:40:00.853Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:40:01.663Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:40:01.664Z] The best model improves the baseline by 14.52%. [2025-07-01T07:40:02.464Z] Top recommended movies for user id 72: [2025-07-01T07:40:02.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:40:02.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:40:02.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:40:02.464Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:40:02.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:40:02.464Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (66333.968 ms) ====== [2025-07-01T07:40:02.464Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-01T07:40:02.464Z] GC before operation: completed in 446.960 ms, heap usage 341.700 MB -> 88.679 MB. [2025-07-01T07:40:14.339Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:40:26.177Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:40:40.143Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:40:50.510Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:40:57.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:41:03.408Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:41:10.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:41:16.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:41:17.240Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:41:17.240Z] The best model improves the baseline by 14.52%. [2025-07-01T07:41:18.035Z] Top recommended movies for user id 72: [2025-07-01T07:41:18.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:41:18.035Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:41:18.035Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:41:18.035Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:41:18.035Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:41:18.035Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (75497.992 ms) ====== [2025-07-01T07:41:18.035Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-01T07:41:18.838Z] GC before operation: completed in 515.316 ms, heap usage 365.533 MB -> 89.369 MB. [2025-07-01T07:41:28.968Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:41:37.487Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:41:46.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:41:56.265Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:42:00.893Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:42:06.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:42:13.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:42:18.801Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:42:19.586Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:42:19.586Z] The best model improves the baseline by 14.52%. [2025-07-01T07:42:20.375Z] Top recommended movies for user id 72: [2025-07-01T07:42:20.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:42:20.375Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:42:20.375Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:42:20.375Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:42:20.375Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:42:20.375Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (61523.884 ms) ====== [2025-07-01T07:42:20.375Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-01T07:42:20.375Z] GC before operation: completed in 452.939 ms, heap usage 98.642 MB -> 89.253 MB. [2025-07-01T07:42:28.899Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:42:38.963Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:42:49.073Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:42:59.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:43:04.805Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:43:10.523Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:43:17.536Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:43:22.158Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:43:22.966Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:43:22.966Z] The best model improves the baseline by 14.52%. [2025-07-01T07:43:23.785Z] Top recommended movies for user id 72: [2025-07-01T07:43:23.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:43:23.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:43:23.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:43:23.785Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:43:23.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:43:23.785Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (62858.076 ms) ====== [2025-07-01T07:43:23.785Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-01T07:43:23.785Z] GC before operation: completed in 475.890 ms, heap usage 358.378 MB -> 89.611 MB. [2025-07-01T07:43:33.823Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:43:44.366Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:43:52.603Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:44:00.849Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:44:05.258Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:44:10.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:44:16.373Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:44:21.943Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:44:21.943Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:44:21.943Z] The best model improves the baseline by 14.52%. [2025-07-01T07:44:22.694Z] Top recommended movies for user id 72: [2025-07-01T07:44:22.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:44:22.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:44:22.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:44:22.694Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:44:22.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:44:22.694Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (58656.871 ms) ====== [2025-07-01T07:44:22.694Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-01T07:44:23.456Z] GC before operation: completed in 466.625 ms, heap usage 114.235 MB -> 90.776 MB. [2025-07-01T07:44:31.640Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:44:39.857Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:44:48.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:44:56.475Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:45:02.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:45:08.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:45:12.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:45:18.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:45:18.224Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:45:18.989Z] The best model improves the baseline by 14.52%. [2025-07-01T07:45:18.989Z] Top recommended movies for user id 72: [2025-07-01T07:45:18.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:45:18.989Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:45:18.989Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:45:18.989Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:45:18.989Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:45:18.989Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (55762.474 ms) ====== [2025-07-01T07:45:18.989Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-01T07:45:18.989Z] GC before operation: completed in 375.774 ms, heap usage 386.828 MB -> 89.907 MB. [2025-07-01T07:45:27.205Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:45:35.420Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:45:45.336Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:45:52.148Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:45:57.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:46:02.231Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:46:05.664Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:46:10.251Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:46:10.251Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:46:11.027Z] The best model improves the baseline by 14.52%. [2025-07-01T07:46:11.027Z] Top recommended movies for user id 72: [2025-07-01T07:46:11.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:46:11.027Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:46:11.027Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:46:11.027Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:46:11.027Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:46:11.027Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (51822.743 ms) ====== [2025-07-01T07:46:11.027Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-01T07:46:11.794Z] GC before operation: completed in 399.586 ms, heap usage 262.786 MB -> 90.030 MB. [2025-07-01T07:46:18.674Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:46:25.553Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:46:32.652Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:46:39.494Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:46:43.923Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:46:47.426Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:46:51.865Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:46:56.421Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:46:57.273Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:46:57.273Z] The best model improves the baseline by 14.52%. [2025-07-01T07:46:57.273Z] Top recommended movies for user id 72: [2025-07-01T07:46:57.273Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:46:57.273Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:46:57.273Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:46:57.273Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:46:57.273Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:46:57.273Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (46025.704 ms) ====== [2025-07-01T07:46:57.273Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-01T07:46:58.108Z] GC before operation: completed in 505.295 ms, heap usage 157.780 MB -> 89.832 MB. [2025-07-01T07:47:07.036Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:47:14.418Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:47:21.797Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:47:27.810Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:47:31.508Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:47:36.254Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:47:40.997Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:47:44.651Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:47:45.480Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:47:45.480Z] The best model improves the baseline by 14.52%. [2025-07-01T07:47:46.313Z] Top recommended movies for user id 72: [2025-07-01T07:47:46.314Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:47:46.314Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:47:46.314Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:47:46.314Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:47:46.314Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:47:46.314Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (48139.245 ms) ====== [2025-07-01T07:47:46.314Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-01T07:47:47.495Z] GC before operation: completed in 494.987 ms, heap usage 791.616 MB -> 96.567 MB. [2025-07-01T07:47:53.629Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:48:00.961Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:48:08.452Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:48:15.817Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:48:19.505Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:48:24.326Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:48:28.008Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:48:32.831Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:48:33.658Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:48:33.658Z] The best model improves the baseline by 14.52%. [2025-07-01T07:48:33.658Z] Top recommended movies for user id 72: [2025-07-01T07:48:33.658Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:48:33.658Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:48:33.658Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:48:33.658Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:48:33.658Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:48:33.658Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (47077.380 ms) ====== [2025-07-01T07:48:33.658Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-01T07:48:34.496Z] GC before operation: completed in 412.838 ms, heap usage 284.060 MB -> 89.889 MB. [2025-07-01T07:48:41.969Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:48:48.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:48:55.349Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:49:01.975Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:49:06.804Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:49:11.554Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:49:15.203Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:49:19.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:49:20.805Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:49:20.805Z] The best model improves the baseline by 14.52%. [2025-07-01T07:49:20.805Z] Top recommended movies for user id 72: [2025-07-01T07:49:20.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:49:20.805Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:49:20.805Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:49:20.805Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:49:20.805Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:49:20.805Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (46752.644 ms) ====== [2025-07-01T07:49:20.805Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-01T07:49:21.640Z] GC before operation: completed in 411.139 ms, heap usage 670.138 MB -> 93.880 MB. [2025-07-01T07:49:28.934Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:49:36.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:49:43.513Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:49:49.804Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:49:54.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:49:58.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:50:01.991Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:50:05.678Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:50:06.520Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:50:06.520Z] The best model improves the baseline by 14.52%. [2025-07-01T07:50:06.520Z] Top recommended movies for user id 72: [2025-07-01T07:50:06.520Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:50:06.520Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:50:06.520Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:50:06.520Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:50:06.520Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:50:06.520Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (45347.003 ms) ====== [2025-07-01T07:50:06.520Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-01T07:50:07.370Z] GC before operation: completed in 366.801 ms, heap usage 176.769 MB -> 90.109 MB. [2025-07-01T07:50:13.359Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:50:20.427Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:50:26.014Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:50:31.606Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:50:36.546Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:50:39.964Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:50:44.389Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:50:47.850Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:50:48.622Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:50:48.622Z] The best model improves the baseline by 14.52%. [2025-07-01T07:50:48.622Z] Top recommended movies for user id 72: [2025-07-01T07:50:48.622Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:50:48.622Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:50:48.622Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:50:48.622Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:50:48.622Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:50:48.622Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (41866.144 ms) ====== [2025-07-01T07:50:48.622Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-01T07:50:49.383Z] GC before operation: completed in 416.103 ms, heap usage 121.090 MB -> 91.197 MB. [2025-07-01T07:50:56.177Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:51:02.955Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:51:08.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:51:14.214Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:51:17.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:51:21.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:51:24.932Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:51:29.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:51:29.423Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:51:29.423Z] The best model improves the baseline by 14.52%. [2025-07-01T07:51:30.191Z] Top recommended movies for user id 72: [2025-07-01T07:51:30.191Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:51:30.191Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:51:30.191Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:51:30.191Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:51:30.191Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:51:30.191Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (40770.821 ms) ====== [2025-07-01T07:51:30.191Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-01T07:51:30.191Z] GC before operation: completed in 396.818 ms, heap usage 239.953 MB -> 90.213 MB. [2025-07-01T07:51:37.067Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:51:43.937Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:51:49.572Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:51:56.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:51:59.801Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:52:03.200Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:52:06.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:52:10.563Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:52:11.344Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:52:11.344Z] The best model improves the baseline by 14.52%. [2025-07-01T07:52:12.105Z] Top recommended movies for user id 72: [2025-07-01T07:52:12.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:52:12.105Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:52:12.105Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:52:12.105Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:52:12.105Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:52:12.105Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (41240.793 ms) ====== [2025-07-01T07:52:12.105Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-01T07:52:12.105Z] GC before operation: completed in 382.767 ms, heap usage 243.994 MB -> 90.093 MB. [2025-07-01T07:52:19.006Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:52:25.900Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:52:32.751Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:52:39.591Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:52:45.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:52:48.670Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:52:54.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:52:58.218Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:52:58.987Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:52:58.987Z] The best model improves the baseline by 14.52%. [2025-07-01T07:52:58.987Z] Top recommended movies for user id 72: [2025-07-01T07:52:58.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:52:58.987Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:52:58.987Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:52:58.987Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:52:58.987Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:52:58.987Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (47154.841 ms) ====== [2025-07-01T07:52:58.987Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-01T07:52:59.763Z] GC before operation: completed in 440.398 ms, heap usage 365.247 MB -> 90.365 MB. [2025-07-01T07:53:08.069Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:53:14.951Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:53:23.277Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:53:30.167Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:53:35.824Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:53:40.297Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:53:45.918Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:53:49.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:53:50.642Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:53:50.642Z] The best model improves the baseline by 14.52%. [2025-07-01T07:53:51.407Z] Top recommended movies for user id 72: [2025-07-01T07:53:51.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:53:51.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:53:51.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:53:51.407Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:53:51.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:53:51.407Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (51395.413 ms) ====== [2025-07-01T07:53:51.407Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-01T07:53:51.407Z] GC before operation: completed in 409.439 ms, heap usage 99.918 MB -> 89.733 MB. [2025-07-01T07:53:59.696Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:54:06.553Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:54:13.447Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:54:20.263Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:54:23.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:54:28.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:54:31.495Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:54:36.149Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:54:36.149Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:54:36.149Z] The best model improves the baseline by 14.52%. [2025-07-01T07:54:36.920Z] Top recommended movies for user id 72: [2025-07-01T07:54:36.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:54:36.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:54:36.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:54:36.920Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:54:36.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:54:36.920Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (45154.084 ms) ====== [2025-07-01T07:54:36.920Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-01T07:54:36.920Z] GC before operation: completed in 381.382 ms, heap usage 164.073 MB -> 90.052 MB. [2025-07-01T07:54:45.109Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T07:54:50.790Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T07:54:59.056Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T07:55:04.670Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T07:55:09.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T07:55:13.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T07:55:18.093Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T07:55:22.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T07:55:22.807Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-01T07:55:23.570Z] The best model improves the baseline by 14.52%. [2025-07-01T07:55:23.570Z] Top recommended movies for user id 72: [2025-07-01T07:55:23.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T07:55:23.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T07:55:23.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T07:55:23.570Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T07:55:23.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T07:55:23.570Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (46572.331 ms) ====== [2025-07-01T07:55:25.161Z] ----------------------------------- [2025-07-01T07:55:25.161Z] renaissance-movie-lens_0_PASSED [2025-07-01T07:55:25.161Z] ----------------------------------- [2025-07-01T07:55:25.161Z] [2025-07-01T07:55:25.161Z] TEST TEARDOWN: [2025-07-01T07:55:25.161Z] Nothing to be done for teardown. [2025-07-01T07:55:25.161Z] renaissance-movie-lens_0 Finish Time: Tue Jul 1 07:55:24 2025 Epoch Time (ms): 1751356524425