[2025-12-17T22:31:09.591Z] Running test renaissance-movie-lens_0 ... [2025-12-17T22:31:09.591Z] =============================================== [2025-12-17T22:31:09.591Z] renaissance-movie-lens_0 Start Time: Wed Dec 17 22:31:09 2025 Epoch Time (ms): 1766010669115 [2025-12-17T22:31:09.591Z] variation: NoOptions [2025-12-17T22:31:09.591Z] JVM_OPTIONS: [2025-12-17T22:31:09.591Z] { \ [2025-12-17T22:31:09.591Z] echo ""; echo "TEST SETUP:"; \ [2025-12-17T22:31:09.591Z] echo "Nothing to be done for setup."; \ [2025-12-17T22:31:09.591Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17660092267386/renaissance-movie-lens_0"; \ [2025-12-17T22:31:09.591Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17660092267386/renaissance-movie-lens_0"; \ [2025-12-17T22:31:09.591Z] echo ""; echo "TESTING:"; \ [2025-12-17T22:31:09.591Z] "/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_17660092267386/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-17T22:31:09.591Z] 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_17660092267386/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-17T22:31:09.591Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-17T22:31:09.591Z] echo "Nothing to be done for teardown."; \ [2025-12-17T22:31:09.591Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17660092267386/TestTargetResult"; [2025-12-17T22:31:09.591Z] [2025-12-17T22:31:09.591Z] TEST SETUP: [2025-12-17T22:31:09.591Z] Nothing to be done for setup. [2025-12-17T22:31:09.591Z] [2025-12-17T22:31:09.591Z] TESTING: [2025-12-17T22:31:15.007Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-17T22:31:21.734Z] 22:31:20.559 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. [2025-12-17T22:31:24.969Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-17T22:31:24.969Z] Training: 60056, validation: 20285, test: 19854 [2025-12-17T22:31:24.969Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-17T22:31:24.969Z] GC before operation: completed in 117.979 ms, heap usage 168.741 MB -> 75.603 MB. [2025-12-17T22:31:30.373Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:31:33.411Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:31:37.579Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:31:40.622Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:31:42.599Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:31:43.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:31:45.516Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:31:47.482Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:31:47.482Z] 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. [2025-12-17T22:31:47.482Z] The best model improves the baseline by 14.52%. [2025-12-17T22:31:48.464Z] Top recommended movies for user id 72: [2025-12-17T22:31:48.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:31:48.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:31:48.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:31:48.465Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:31:48.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:31:48.465Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24128.028 ms) ====== [2025-12-17T22:31:48.465Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-17T22:31:48.465Z] GC before operation: completed in 154.497 ms, heap usage 193.059 MB -> 90.079 MB. [2025-12-17T22:31:50.531Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:31:53.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:31:56.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:31:58.527Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:32:00.501Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:32:01.463Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:32:03.441Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:32:04.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:32:05.348Z] 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. [2025-12-17T22:32:05.348Z] The best model improves the baseline by 14.52%. [2025-12-17T22:32:05.348Z] Top recommended movies for user id 72: [2025-12-17T22:32:05.348Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:32:05.348Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:32:05.348Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:32:05.348Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:32:05.348Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:32:05.348Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17054.349 ms) ====== [2025-12-17T22:32:05.348Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-17T22:32:05.348Z] GC before operation: completed in 132.780 ms, heap usage 535.251 MB -> 92.121 MB. [2025-12-17T22:32:08.381Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:32:10.521Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:32:12.478Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:32:15.497Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:32:16.452Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:32:18.407Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:32:19.363Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:32:21.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:32:21.293Z] 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. [2025-12-17T22:32:21.293Z] The best model improves the baseline by 14.52%. [2025-12-17T22:32:21.293Z] Top recommended movies for user id 72: [2025-12-17T22:32:21.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:32:21.293Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:32:21.293Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:32:21.293Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:32:21.293Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:32:21.293Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15949.387 ms) ====== [2025-12-17T22:32:21.293Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-17T22:32:21.293Z] GC before operation: completed in 127.786 ms, heap usage 687.239 MB -> 97.739 MB. [2025-12-17T22:32:24.315Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:32:26.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:32:28.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:32:31.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:32:32.208Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:32:34.169Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:32:35.121Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:32:37.076Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:32:37.076Z] 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. [2025-12-17T22:32:37.076Z] The best model improves the baseline by 14.52%. [2025-12-17T22:32:37.077Z] Top recommended movies for user id 72: [2025-12-17T22:32:37.077Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:32:37.077Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:32:37.077Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:32:37.077Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:32:37.077Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:32:37.077Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16010.663 ms) ====== [2025-12-17T22:32:37.077Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-17T22:32:38.028Z] GC before operation: completed in 125.461 ms, heap usage 141.724 MB -> 95.026 MB. [2025-12-17T22:32:39.987Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:32:43.026Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:32:44.984Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:32:48.025Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:32:49.105Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:32:51.060Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:32:53.015Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:32:53.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:32:53.965Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-17T22:32:53.965Z] The best model improves the baseline by 14.52%. [2025-12-17T22:32:54.917Z] Top recommended movies for user id 72: [2025-12-17T22:32:54.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:32:54.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:32:54.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:32:54.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:32:54.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:32:54.917Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16843.321 ms) ====== [2025-12-17T22:32:54.917Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-17T22:32:54.917Z] GC before operation: completed in 122.298 ms, heap usage 758.081 MB -> 93.371 MB. [2025-12-17T22:32:56.869Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:32:59.884Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:33:01.836Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:33:03.802Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:33:04.753Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:33:06.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:33:07.658Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:33:09.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:33:09.611Z] 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. [2025-12-17T22:33:09.611Z] The best model improves the baseline by 14.52%. [2025-12-17T22:33:09.611Z] Top recommended movies for user id 72: [2025-12-17T22:33:09.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:33:09.611Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:33:09.611Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:33:09.611Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:33:09.611Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:33:09.611Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15224.343 ms) ====== [2025-12-17T22:33:09.611Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-17T22:33:09.611Z] GC before operation: completed in 151.567 ms, heap usage 613.711 MB -> 93.555 MB. [2025-12-17T22:33:13.351Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:33:14.302Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:33:17.316Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:33:19.269Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:33:20.222Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:33:22.199Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:33:23.155Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:33:24.122Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:33:25.075Z] 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. [2025-12-17T22:33:25.075Z] The best model improves the baseline by 14.52%. [2025-12-17T22:33:25.075Z] Top recommended movies for user id 72: [2025-12-17T22:33:25.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:33:25.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:33:25.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:33:25.075Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:33:25.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:33:25.075Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14964.883 ms) ====== [2025-12-17T22:33:25.075Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-17T22:33:25.075Z] GC before operation: completed in 158.059 ms, heap usage 131.625 MB -> 96.336 MB. [2025-12-17T22:33:27.063Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:33:29.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:33:32.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:33:33.991Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:33:34.951Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:33:36.903Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:33:37.854Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:33:38.809Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:33:39.760Z] 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. [2025-12-17T22:33:39.760Z] The best model improves the baseline by 14.52%. [2025-12-17T22:33:39.760Z] Top recommended movies for user id 72: [2025-12-17T22:33:39.760Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:33:39.760Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:33:39.760Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:33:39.760Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:33:39.760Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:33:39.760Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14566.031 ms) ====== [2025-12-17T22:33:39.760Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-17T22:33:39.760Z] GC before operation: completed in 201.613 ms, heap usage 234.249 MB -> 92.122 MB. [2025-12-17T22:33:41.732Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:33:44.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:33:46.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:33:48.971Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:33:49.929Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:33:51.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:33:52.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:33:53.845Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:33:54.825Z] 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. [2025-12-17T22:33:54.825Z] The best model improves the baseline by 14.52%. [2025-12-17T22:33:54.825Z] Top recommended movies for user id 72: [2025-12-17T22:33:54.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:33:54.825Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:33:54.825Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:33:54.825Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:33:54.825Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:33:54.825Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14782.887 ms) ====== [2025-12-17T22:33:54.825Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-17T22:33:54.825Z] GC before operation: completed in 149.709 ms, heap usage 526.034 MB -> 93.528 MB. [2025-12-17T22:33:56.802Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:33:59.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:34:01.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:34:03.824Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:34:05.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:34:06.836Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:34:08.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:34:09.763Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:34:09.763Z] 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. [2025-12-17T22:34:09.763Z] The best model improves the baseline by 14.52%. [2025-12-17T22:34:10.724Z] Top recommended movies for user id 72: [2025-12-17T22:34:10.724Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:34:10.724Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:34:10.724Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:34:10.724Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:34:10.724Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:34:10.724Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15467.267 ms) ====== [2025-12-17T22:34:10.724Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-17T22:34:10.724Z] GC before operation: completed in 158.595 ms, heap usage 828.398 MB -> 94.291 MB. [2025-12-17T22:34:12.682Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:34:14.641Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:34:17.745Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:34:19.698Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:34:20.652Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:34:22.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:34:23.557Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:34:24.509Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:34:25.460Z] 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. [2025-12-17T22:34:25.460Z] The best model improves the baseline by 14.52%. [2025-12-17T22:34:25.460Z] Top recommended movies for user id 72: [2025-12-17T22:34:25.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:34:25.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:34:25.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:34:25.460Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:34:25.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:34:25.460Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14875.453 ms) ====== [2025-12-17T22:34:25.460Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-17T22:34:25.460Z] GC before operation: completed in 149.189 ms, heap usage 498.561 MB -> 90.110 MB. [2025-12-17T22:34:28.481Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:34:30.440Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:34:32.414Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:34:34.450Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:34:35.415Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:34:36.374Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:34:38.365Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:34:39.333Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:34:39.333Z] 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. [2025-12-17T22:34:40.340Z] The best model improves the baseline by 14.52%. [2025-12-17T22:34:40.340Z] Top recommended movies for user id 72: [2025-12-17T22:34:40.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:34:40.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:34:40.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:34:40.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:34:40.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:34:40.340Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14512.395 ms) ====== [2025-12-17T22:34:40.340Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-17T22:34:40.340Z] GC before operation: completed in 192.116 ms, heap usage 515.400 MB -> 91.510 MB. [2025-12-17T22:34:42.334Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:34:44.334Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:34:46.343Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:34:49.405Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:34:50.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:34:51.326Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:34:53.296Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:34:54.257Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:34:54.257Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-17T22:34:54.257Z] The best model improves the baseline by 14.52%. [2025-12-17T22:34:55.218Z] Top recommended movies for user id 72: [2025-12-17T22:34:55.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:34:55.218Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:34:55.218Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:34:55.218Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:34:55.218Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:34:55.218Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (14700.498 ms) ====== [2025-12-17T22:34:55.218Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-17T22:34:55.218Z] GC before operation: completed in 181.939 ms, heap usage 679.196 MB -> 94.009 MB. [2025-12-17T22:34:57.941Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:34:59.894Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:35:01.846Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:35:03.810Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:35:05.767Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:35:06.720Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:35:08.674Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:35:09.627Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:35:09.627Z] 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. [2025-12-17T22:35:09.627Z] The best model improves the baseline by 14.52%. [2025-12-17T22:35:10.594Z] Top recommended movies for user id 72: [2025-12-17T22:35:10.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:35:10.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:35:10.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:35:10.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:35:10.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:35:10.594Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15107.485 ms) ====== [2025-12-17T22:35:10.594Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-17T22:35:10.594Z] GC before operation: completed in 138.020 ms, heap usage 670.581 MB -> 93.834 MB. [2025-12-17T22:35:12.549Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:35:15.569Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:35:17.662Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:35:19.634Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:35:21.589Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:35:22.551Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:35:23.507Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:35:25.495Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:35:25.495Z] 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. [2025-12-17T22:35:25.495Z] The best model improves the baseline by 14.52%. [2025-12-17T22:35:25.495Z] Top recommended movies for user id 72: [2025-12-17T22:35:25.495Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:35:25.495Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:35:25.495Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:35:25.495Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:35:25.495Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:35:25.495Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15480.045 ms) ====== [2025-12-17T22:35:25.495Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-17T22:35:25.495Z] GC before operation: completed in 124.967 ms, heap usage 216.961 MB -> 95.835 MB. [2025-12-17T22:35:28.520Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:35:30.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:35:33.501Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:35:35.510Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:35:36.465Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:35:37.418Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:35:39.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:35:40.337Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:35:40.337Z] 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. [2025-12-17T22:35:40.337Z] The best model improves the baseline by 14.52%. [2025-12-17T22:35:41.290Z] Top recommended movies for user id 72: [2025-12-17T22:35:41.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:35:41.290Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:35:41.290Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:35:41.290Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:35:41.290Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:35:41.290Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14929.250 ms) ====== [2025-12-17T22:35:41.290Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-17T22:35:41.290Z] GC before operation: completed in 186.975 ms, heap usage 276.638 MB -> 94.788 MB. [2025-12-17T22:35:43.250Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:35:45.203Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:35:47.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:35:50.352Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:35:51.303Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:35:52.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:35:53.207Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:35:55.160Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:35:55.160Z] 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. [2025-12-17T22:35:55.160Z] The best model improves the baseline by 14.52%. [2025-12-17T22:35:55.160Z] Top recommended movies for user id 72: [2025-12-17T22:35:55.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:35:55.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:35:55.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:35:55.160Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:35:55.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:35:55.160Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14323.887 ms) ====== [2025-12-17T22:35:55.160Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-17T22:35:55.160Z] GC before operation: completed in 131.217 ms, heap usage 838.545 MB -> 94.591 MB. [2025-12-17T22:35:58.192Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:36:00.147Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:36:02.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:36:04.060Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:36:06.015Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:36:06.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:36:07.922Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:36:09.882Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:36:09.882Z] 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. [2025-12-17T22:36:09.882Z] The best model improves the baseline by 14.52%. [2025-12-17T22:36:09.882Z] Top recommended movies for user id 72: [2025-12-17T22:36:09.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:36:09.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:36:09.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:36:09.882Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:36:09.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:36:09.882Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14353.550 ms) ====== [2025-12-17T22:36:09.882Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-17T22:36:09.882Z] GC before operation: completed in 117.522 ms, heap usage 691.464 MB -> 99.695 MB. [2025-12-17T22:36:11.833Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:36:13.796Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:36:16.816Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:36:18.770Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:36:19.724Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:36:21.681Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:36:22.636Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:36:24.599Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:36:24.599Z] 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. [2025-12-17T22:36:24.599Z] The best model improves the baseline by 14.52%. [2025-12-17T22:36:24.599Z] Top recommended movies for user id 72: [2025-12-17T22:36:24.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:36:24.599Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:36:24.599Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:36:24.599Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:36:24.599Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:36:24.599Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14671.702 ms) ====== [2025-12-17T22:36:24.599Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-17T22:36:24.599Z] GC before operation: completed in 171.814 ms, heap usage 342.367 MB -> 90.249 MB. [2025-12-17T22:36:27.636Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-17T22:36:30.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-17T22:36:32.610Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-17T22:36:34.570Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-17T22:36:36.527Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-17T22:36:37.481Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-17T22:36:38.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-17T22:36:40.396Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-17T22:36:40.396Z] 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. [2025-12-17T22:36:40.396Z] The best model improves the baseline by 14.52%. [2025-12-17T22:36:40.396Z] Top recommended movies for user id 72: [2025-12-17T22:36:40.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-17T22:36:40.396Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-17T22:36:40.396Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-17T22:36:40.396Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-17T22:36:40.396Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-17T22:36:40.396Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15598.697 ms) ====== [2025-12-17T22:36:40.396Z] ----------------------------------- [2025-12-17T22:36:40.396Z] renaissance-movie-lens_0_PASSED [2025-12-17T22:36:40.396Z] ----------------------------------- [2025-12-17T22:36:41.348Z] [2025-12-17T22:36:41.348Z] TEST TEARDOWN: [2025-12-17T22:36:41.348Z] Nothing to be done for teardown. [2025-12-17T22:36:41.348Z] renaissance-movie-lens_0 Finish Time: Wed Dec 17 22:36:40 2025 Epoch Time (ms): 1766011000328