[2025-09-26T14:00:54.501Z] Running test renaissance-movie-lens_0 ... [2025-09-26T14:00:54.501Z] =============================================== [2025-09-26T14:00:54.501Z] renaissance-movie-lens_0 Start Time: Fri Sep 26 14:00:54 2025 Epoch Time (ms): 1758895254443 [2025-09-26T14:00:54.501Z] variation: NoOptions [2025-09-26T14:00:54.501Z] JVM_OPTIONS: [2025-09-26T14:00:54.501Z] { \ [2025-09-26T14:00:54.501Z] echo ""; echo "TEST SETUP:"; \ [2025-09-26T14:00:54.501Z] echo "Nothing to be done for setup."; \ [2025-09-26T14:00:54.501Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1758893310241/renaissance-movie-lens_0"; \ [2025-09-26T14:00:54.501Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1758893310241/renaissance-movie-lens_0"; \ [2025-09-26T14:00:54.501Z] echo ""; echo "TESTING:"; \ [2025-09-26T14:00:54.501Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_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_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1758893310241/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-09-26T14:00:54.501Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1758893310241/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-09-26T14:00:54.501Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-09-26T14:00:54.501Z] echo "Nothing to be done for teardown."; \ [2025-09-26T14:00:54.501Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1758893310241/TestTargetResult"; [2025-09-26T14:00:54.501Z] [2025-09-26T14:00:54.501Z] TEST SETUP: [2025-09-26T14:00:54.501Z] Nothing to be done for setup. [2025-09-26T14:00:54.501Z] [2025-09-26T14:00:54.501Z] TESTING: [2025-09-26T14:01:05.003Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-09-26T14:01:12.003Z] 14:01:11.908 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-09-26T14:01:14.796Z] Got 100004 ratings from 671 users on 9066 movies. [2025-09-26T14:01:15.451Z] Training: 60056, validation: 20285, test: 19854 [2025-09-26T14:01:15.451Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-09-26T14:01:15.753Z] GC before operation: completed in 135.741 ms, heap usage 177.940 MB -> 75.414 MB. [2025-09-26T14:01:22.771Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:01:28.422Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:01:32.012Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:01:35.596Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:01:37.719Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:01:39.845Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:01:41.972Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:01:44.085Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:01:44.085Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:01:44.393Z] The best model improves the baseline by 14.34%. [2025-09-26T14:01:44.697Z] Top recommended movies for user id 72: [2025-09-26T14:01:44.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:01:44.697Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:01:44.697Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:01:44.697Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:01:44.697Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:01:44.697Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28965.502 ms) ====== [2025-09-26T14:01:44.697Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-09-26T14:01:44.697Z] GC before operation: completed in 120.101 ms, heap usage 172.058 MB -> 90.392 MB. [2025-09-26T14:01:48.326Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:01:51.128Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:01:53.917Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:01:56.034Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:01:57.575Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:01:59.132Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:02:00.679Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:02:01.734Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:02:02.037Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:02:02.336Z] The best model improves the baseline by 14.34%. [2025-09-26T14:02:02.336Z] Top recommended movies for user id 72: [2025-09-26T14:02:02.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:02:02.336Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:02:02.336Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:02:02.336Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:02:02.336Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:02:02.336Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17706.248 ms) ====== [2025-09-26T14:02:02.336Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-09-26T14:02:02.637Z] GC before operation: completed in 111.772 ms, heap usage 274.260 MB -> 89.796 MB. [2025-09-26T14:02:05.439Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:02:07.550Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:02:09.668Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:02:11.814Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:02:13.362Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:02:14.910Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:02:16.458Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:02:17.517Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:02:17.817Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:02:17.817Z] The best model improves the baseline by 14.34%. [2025-09-26T14:02:17.817Z] Top recommended movies for user id 72: [2025-09-26T14:02:17.817Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:02:17.817Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:02:17.817Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:02:17.817Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:02:17.817Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:02:17.818Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15305.956 ms) ====== [2025-09-26T14:02:17.818Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-09-26T14:02:18.120Z] GC before operation: completed in 122.976 ms, heap usage 654.083 MB -> 92.010 MB. [2025-09-26T14:02:20.231Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:02:22.348Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:02:25.142Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:02:27.253Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:02:28.319Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:02:29.383Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:02:30.924Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:02:31.985Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:02:32.285Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:02:32.285Z] The best model improves the baseline by 14.34%. [2025-09-26T14:02:32.285Z] Top recommended movies for user id 72: [2025-09-26T14:02:32.285Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:02:32.285Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:02:32.285Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:02:32.285Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:02:32.285Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:02:32.285Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14409.192 ms) ====== [2025-09-26T14:02:32.285Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-09-26T14:02:32.589Z] GC before operation: completed in 123.343 ms, heap usage 179.211 MB -> 88.310 MB. [2025-09-26T14:02:34.817Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:02:36.928Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:02:39.054Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:02:41.172Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:02:42.237Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:02:43.302Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:02:44.842Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:02:45.903Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:02:46.207Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:02:46.207Z] The best model improves the baseline by 14.34%. [2025-09-26T14:02:46.511Z] Top recommended movies for user id 72: [2025-09-26T14:02:46.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:02:46.511Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:02:46.511Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:02:46.511Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:02:46.511Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:02:46.511Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (13928.243 ms) ====== [2025-09-26T14:02:46.511Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-09-26T14:02:46.511Z] GC before operation: completed in 123.367 ms, heap usage 459.488 MB -> 92.012 MB. [2025-09-26T14:02:48.625Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:02:50.739Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:02:52.848Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:02:55.018Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:02:56.083Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:02:57.146Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:02:58.691Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:03:00.231Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:03:00.231Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:03:00.231Z] The best model improves the baseline by 14.34%. [2025-09-26T14:03:00.531Z] Top recommended movies for user id 72: [2025-09-26T14:03:00.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:03:00.531Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:03:00.531Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:03:00.531Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:03:00.531Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:03:00.531Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (13797.052 ms) ====== [2025-09-26T14:03:00.531Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-09-26T14:03:00.531Z] GC before operation: completed in 112.054 ms, heap usage 187.702 MB -> 88.692 MB. [2025-09-26T14:03:02.642Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:03:04.754Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:03:06.866Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:03:08.980Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:03:10.050Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:03:11.595Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:03:12.657Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:03:13.720Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:03:14.021Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:03:14.021Z] The best model improves the baseline by 14.34%. [2025-09-26T14:03:14.324Z] Top recommended movies for user id 72: [2025-09-26T14:03:14.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:03:14.324Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:03:14.324Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:03:14.324Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:03:14.324Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:03:14.324Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13717.710 ms) ====== [2025-09-26T14:03:14.324Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-09-26T14:03:14.324Z] GC before operation: completed in 113.589 ms, heap usage 566.477 MB -> 92.556 MB. [2025-09-26T14:03:16.435Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:03:18.579Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:03:20.692Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:03:22.238Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:03:23.299Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:03:24.844Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:03:25.905Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:03:27.450Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:03:27.450Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:03:27.750Z] The best model improves the baseline by 14.34%. [2025-09-26T14:03:27.750Z] Top recommended movies for user id 72: [2025-09-26T14:03:27.750Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:03:27.750Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:03:27.750Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:03:27.750Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:03:27.750Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:03:27.750Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13367.538 ms) ====== [2025-09-26T14:03:27.750Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-09-26T14:03:27.750Z] GC before operation: completed in 113.183 ms, heap usage 422.534 MB -> 89.345 MB. [2025-09-26T14:03:29.864Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:03:31.971Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:03:34.100Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:03:36.220Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:03:37.282Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:03:38.412Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:03:39.955Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:03:41.021Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:03:41.322Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:03:41.322Z] The best model improves the baseline by 14.34%. [2025-09-26T14:03:41.629Z] Top recommended movies for user id 72: [2025-09-26T14:03:41.629Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:03:41.629Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:03:41.629Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:03:41.629Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:03:41.629Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:03:41.629Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13680.311 ms) ====== [2025-09-26T14:03:41.629Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-09-26T14:03:41.629Z] GC before operation: completed in 119.777 ms, heap usage 148.031 MB -> 88.632 MB. [2025-09-26T14:03:44.425Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:03:45.968Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:03:48.076Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:03:49.629Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:03:51.174Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:03:52.234Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:03:53.775Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:03:54.835Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:03:55.135Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:03:55.135Z] The best model improves the baseline by 14.34%. [2025-09-26T14:03:55.135Z] Top recommended movies for user id 72: [2025-09-26T14:03:55.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:03:55.135Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:03:55.135Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:03:55.135Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:03:55.135Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:03:55.135Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13640.666 ms) ====== [2025-09-26T14:03:55.135Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-09-26T14:03:55.436Z] GC before operation: completed in 113.965 ms, heap usage 206.621 MB -> 88.979 MB. [2025-09-26T14:03:57.550Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:03:59.145Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:04:01.263Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:04:03.374Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:04:04.434Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:04:05.495Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:04:06.556Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:04:07.616Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:04:07.921Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:04:07.921Z] The best model improves the baseline by 14.34%. [2025-09-26T14:04:08.222Z] Top recommended movies for user id 72: [2025-09-26T14:04:08.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:04:08.222Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:04:08.222Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:04:08.222Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:04:08.222Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:04:08.222Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (12724.315 ms) ====== [2025-09-26T14:04:08.222Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-09-26T14:04:08.222Z] GC before operation: completed in 115.708 ms, heap usage 260.241 MB -> 91.039 MB. [2025-09-26T14:04:10.345Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:04:12.465Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:04:14.576Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:04:16.117Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:04:17.190Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:04:18.736Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:04:19.802Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:04:21.406Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:04:21.406Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:04:21.406Z] The best model improves the baseline by 14.34%. [2025-09-26T14:04:21.406Z] Top recommended movies for user id 72: [2025-09-26T14:04:21.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:04:21.406Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:04:21.406Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:04:21.406Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:04:21.406Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:04:21.406Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13220.984 ms) ====== [2025-09-26T14:04:21.406Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-09-26T14:04:21.710Z] GC before operation: completed in 112.381 ms, heap usage 114.815 MB -> 88.789 MB. [2025-09-26T14:04:23.824Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:04:25.365Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:04:27.476Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:04:29.115Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:04:30.693Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:04:31.761Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:04:32.823Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:04:33.884Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:04:34.185Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:04:34.185Z] The best model improves the baseline by 14.34%. [2025-09-26T14:04:34.185Z] Top recommended movies for user id 72: [2025-09-26T14:04:34.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:04:34.185Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:04:34.185Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:04:34.185Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:04:34.185Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:04:34.185Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (12770.122 ms) ====== [2025-09-26T14:04:34.185Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-09-26T14:04:34.485Z] GC before operation: completed in 122.426 ms, heap usage 240.498 MB -> 89.042 MB. [2025-09-26T14:04:36.598Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:04:38.144Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:04:40.932Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:04:42.478Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:04:43.602Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:04:44.665Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:04:46.211Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:04:47.273Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:04:47.574Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:04:47.574Z] The best model improves the baseline by 14.34%. [2025-09-26T14:04:47.574Z] Top recommended movies for user id 72: [2025-09-26T14:04:47.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:04:47.574Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:04:47.574Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:04:47.574Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:04:47.574Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:04:47.574Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13122.541 ms) ====== [2025-09-26T14:04:47.574Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-09-26T14:04:47.574Z] GC before operation: completed in 117.355 ms, heap usage 333.438 MB -> 89.211 MB. [2025-09-26T14:04:51.167Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:04:53.969Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:04:56.760Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:04:59.584Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:05:00.661Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:05:01.721Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:05:03.263Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:05:04.324Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:05:04.324Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:05:04.324Z] The best model improves the baseline by 14.34%. [2025-09-26T14:05:04.635Z] Top recommended movies for user id 72: [2025-09-26T14:05:04.635Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:05:04.635Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:05:04.635Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:05:04.635Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:05:04.635Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:05:04.635Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16787.561 ms) ====== [2025-09-26T14:05:04.635Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-09-26T14:05:04.635Z] GC before operation: completed in 122.151 ms, heap usage 263.294 MB -> 92.585 MB. [2025-09-26T14:05:06.807Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:05:08.921Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:05:11.036Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:05:12.579Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:05:13.645Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:05:15.192Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:05:16.253Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:05:17.323Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:05:17.624Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:05:17.624Z] The best model improves the baseline by 14.34%. [2025-09-26T14:05:17.928Z] Top recommended movies for user id 72: [2025-09-26T14:05:17.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:05:17.928Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:05:17.928Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:05:17.928Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:05:17.928Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:05:17.928Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13202.956 ms) ====== [2025-09-26T14:05:17.928Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-09-26T14:05:17.928Z] GC before operation: completed in 117.024 ms, heap usage 209.440 MB -> 88.861 MB. [2025-09-26T14:05:20.042Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:05:21.590Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:05:23.701Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:05:25.814Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:05:26.874Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:05:27.995Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:05:29.058Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:05:30.607Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:05:30.607Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:05:30.607Z] The best model improves the baseline by 14.34%. [2025-09-26T14:05:30.607Z] Top recommended movies for user id 72: [2025-09-26T14:05:30.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:05:30.607Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:05:30.607Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:05:30.607Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:05:30.607Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:05:30.607Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12746.660 ms) ====== [2025-09-26T14:05:30.607Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-09-26T14:05:30.909Z] GC before operation: completed in 116.489 ms, heap usage 568.130 MB -> 92.820 MB. [2025-09-26T14:05:32.449Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:05:34.560Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:05:36.676Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:05:38.790Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:05:39.848Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:05:40.912Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:05:42.455Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:05:43.517Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:05:43.517Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:05:43.517Z] The best model improves the baseline by 14.34%. [2025-09-26T14:05:43.517Z] Top recommended movies for user id 72: [2025-09-26T14:05:43.517Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:05:43.517Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:05:43.517Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:05:43.517Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:05:43.517Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:05:43.517Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12869.391 ms) ====== [2025-09-26T14:05:43.517Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-09-26T14:05:43.816Z] GC before operation: completed in 114.155 ms, heap usage 409.875 MB -> 89.164 MB. [2025-09-26T14:05:45.928Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:05:47.468Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:05:49.584Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:05:51.691Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:05:52.762Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:05:53.824Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:05:54.888Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:05:55.951Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:05:56.253Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:05:56.253Z] The best model improves the baseline by 14.34%. [2025-09-26T14:05:56.555Z] Top recommended movies for user id 72: [2025-09-26T14:05:56.555Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:05:56.555Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:05:56.555Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:05:56.555Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:05:56.555Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:05:56.555Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12716.998 ms) ====== [2025-09-26T14:05:56.555Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-09-26T14:05:56.555Z] GC before operation: completed in 116.648 ms, heap usage 148.185 MB -> 88.876 MB. [2025-09-26T14:05:58.665Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-26T14:06:00.774Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-26T14:06:02.317Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-26T14:06:04.485Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-26T14:06:05.133Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-26T14:06:06.670Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-26T14:06:07.736Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-26T14:06:08.849Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-26T14:06:09.155Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-09-26T14:06:09.155Z] The best model improves the baseline by 14.34%. [2025-09-26T14:06:09.155Z] Top recommended movies for user id 72: [2025-09-26T14:06:09.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-09-26T14:06:09.155Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-09-26T14:06:09.155Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-09-26T14:06:09.155Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-09-26T14:06:09.155Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-09-26T14:06:09.155Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12593.953 ms) ====== [2025-09-26T14:06:09.808Z] ----------------------------------- [2025-09-26T14:06:09.808Z] renaissance-movie-lens_0_PASSED [2025-09-26T14:06:09.808Z] ----------------------------------- [2025-09-26T14:06:09.808Z] [2025-09-26T14:06:09.808Z] TEST TEARDOWN: [2025-09-26T14:06:09.808Z] Nothing to be done for teardown. [2025-09-26T14:06:09.808Z] renaissance-movie-lens_0 Finish Time: Fri Sep 26 14:06:09 2025 Epoch Time (ms): 1758895569577