[2025-11-06T01:02:26.910Z] Running test renaissance-movie-lens_0 ... [2025-11-06T01:02:26.910Z] =============================================== [2025-11-06T01:02:26.910Z] renaissance-movie-lens_0 Start Time: Thu Nov 6 01:02:26 2025 Epoch Time (ms): 1762390946050 [2025-11-06T01:02:26.910Z] variation: NoOptions [2025-11-06T01:02:26.910Z] JVM_OPTIONS: [2025-11-06T01:02:26.910Z] { \ [2025-11-06T01:02:26.911Z] echo ""; echo "TEST SETUP:"; \ [2025-11-06T01:02:26.911Z] echo "Nothing to be done for setup."; \ [2025-11-06T01:02:26.911Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17623882418784/renaissance-movie-lens_0"; \ [2025-11-06T01:02:26.911Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17623882418784/renaissance-movie-lens_0"; \ [2025-11-06T01:02:26.911Z] echo ""; echo "TESTING:"; \ [2025-11-06T01:02:26.911Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-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_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17623882418784/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-06T01:02:26.911Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17623882418784/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-06T01:02:26.911Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-06T01:02:26.911Z] echo "Nothing to be done for teardown."; \ [2025-11-06T01:02:26.911Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17623882418784/TestTargetResult"; [2025-11-06T01:02:26.911Z] [2025-11-06T01:02:26.911Z] TEST SETUP: [2025-11-06T01:02:26.911Z] Nothing to be done for setup. [2025-11-06T01:02:26.911Z] [2025-11-06T01:02:26.911Z] TESTING: [2025-11-06T01:03:00.281Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-11-06T01:03:16.789Z] 01:03:14.800 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. [2025-11-06T01:03:21.020Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-06T01:03:21.991Z] Training: 60056, validation: 20285, test: 19854 [2025-11-06T01:03:21.991Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-06T01:03:21.991Z] GC before operation: completed in 290.014 ms, heap usage 270.662 MB -> 75.820 MB. [2025-11-06T01:03:43.504Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:03:50.348Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:03:58.679Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:04:07.122Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:04:12.578Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:04:17.490Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:04:21.723Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:04:27.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:04:27.161Z] 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. [2025-11-06T01:04:27.161Z] The best model improves the baseline by 14.52%. [2025-11-06T01:04:28.128Z] Top recommended movies for user id 72: [2025-11-06T01:04:28.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:04:28.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:04:28.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:04:28.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:04:28.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:04:28.128Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (65821.926 ms) ====== [2025-11-06T01:04:28.128Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-06T01:04:28.128Z] GC before operation: completed in 305.906 ms, heap usage 506.723 MB -> 86.746 MB. [2025-11-06T01:04:36.410Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:04:43.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:04:50.399Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:04:57.189Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:05:01.610Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:05:05.825Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:05:09.625Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:05:13.850Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:05:14.814Z] 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. [2025-11-06T01:05:14.814Z] The best model improves the baseline by 14.52%. [2025-11-06T01:05:15.779Z] Top recommended movies for user id 72: [2025-11-06T01:05:15.779Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:05:15.779Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:05:15.779Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:05:15.779Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:05:15.779Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:05:15.779Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (46723.763 ms) ====== [2025-11-06T01:05:15.779Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-06T01:05:15.779Z] GC before operation: completed in 322.690 ms, heap usage 173.146 MB -> 88.594 MB. [2025-11-06T01:05:22.566Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:05:29.405Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:05:34.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:05:40.374Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:05:42.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:05:45.410Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:05:49.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:05:52.759Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:05:52.759Z] 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. [2025-11-06T01:05:52.759Z] The best model improves the baseline by 14.52%. [2025-11-06T01:05:52.759Z] Top recommended movies for user id 72: [2025-11-06T01:05:52.759Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:05:52.759Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:05:52.759Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:05:52.759Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:05:52.759Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:05:52.759Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (37166.638 ms) ====== [2025-11-06T01:05:52.759Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-06T01:05:52.759Z] GC before operation: completed in 274.548 ms, heap usage 770.590 MB -> 93.652 MB. [2025-11-06T01:05:58.205Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:06:02.483Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:06:07.010Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:06:11.314Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:06:13.337Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:06:16.460Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:06:19.526Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:06:22.596Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:06:22.596Z] 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. [2025-11-06T01:06:22.596Z] The best model improves the baseline by 14.52%. [2025-11-06T01:06:22.596Z] Top recommended movies for user id 72: [2025-11-06T01:06:22.596Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:06:22.596Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:06:22.596Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:06:22.596Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:06:22.596Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:06:22.596Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29870.586 ms) ====== [2025-11-06T01:06:22.596Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-06T01:06:23.559Z] GC before operation: completed in 244.108 ms, heap usage 455.208 MB -> 89.793 MB. [2025-11-06T01:06:27.796Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:06:33.221Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:06:37.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:06:41.724Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:06:45.056Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:06:48.127Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:06:51.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:06:54.453Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:06:54.453Z] 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. [2025-11-06T01:06:54.453Z] The best model improves the baseline by 14.52%. [2025-11-06T01:06:55.426Z] Top recommended movies for user id 72: [2025-11-06T01:06:55.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:06:55.426Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:06:55.426Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:06:55.426Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:06:55.426Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:06:55.426Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (31807.552 ms) ====== [2025-11-06T01:06:55.426Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-06T01:06:55.426Z] GC before operation: completed in 313.995 ms, heap usage 375.118 MB -> 89.626 MB. [2025-11-06T01:07:00.977Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:07:06.175Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:07:10.463Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:07:14.951Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:07:16.957Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:07:20.110Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:07:23.208Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:07:25.203Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:07:25.203Z] 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. [2025-11-06T01:07:25.203Z] The best model improves the baseline by 14.52%. [2025-11-06T01:07:26.177Z] Top recommended movies for user id 72: [2025-11-06T01:07:26.177Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:07:26.177Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:07:26.177Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:07:26.177Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:07:26.177Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:07:26.177Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (30483.543 ms) ====== [2025-11-06T01:07:26.177Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-06T01:07:26.177Z] GC before operation: completed in 317.577 ms, heap usage 198.459 MB -> 89.732 MB. [2025-11-06T01:07:30.438Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:07:34.893Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:07:39.333Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:07:42.532Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:07:46.052Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:07:48.061Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:07:51.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:07:54.227Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:07:54.227Z] 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. [2025-11-06T01:07:54.227Z] The best model improves the baseline by 14.52%. [2025-11-06T01:07:54.227Z] Top recommended movies for user id 72: [2025-11-06T01:07:54.227Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:07:54.227Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:07:54.227Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:07:54.227Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:07:54.227Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:07:54.227Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28269.367 ms) ====== [2025-11-06T01:07:54.227Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-06T01:07:54.227Z] GC before operation: completed in 252.283 ms, heap usage 411.722 MB -> 89.993 MB. [2025-11-06T01:07:59.698Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:08:03.697Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:08:08.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:08:12.341Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:08:15.421Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:08:17.420Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:08:20.493Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:08:22.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:08:23.464Z] 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. [2025-11-06T01:08:23.464Z] The best model improves the baseline by 14.52%. [2025-11-06T01:08:23.464Z] Top recommended movies for user id 72: [2025-11-06T01:08:23.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:08:23.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:08:23.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:08:23.464Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:08:23.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:08:23.464Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28778.611 ms) ====== [2025-11-06T01:08:23.464Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-06T01:08:23.464Z] GC before operation: completed in 252.503 ms, heap usage 121.143 MB -> 93.545 MB. [2025-11-06T01:08:27.691Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:08:31.923Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:08:35.019Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:08:40.482Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:08:42.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:08:44.498Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:08:47.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:08:50.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:08:50.783Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T01:08:50.783Z] The best model improves the baseline by 14.52%. [2025-11-06T01:08:50.783Z] Top recommended movies for user id 72: [2025-11-06T01:08:50.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:08:50.783Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:08:50.783Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:08:50.783Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:08:50.783Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:08:50.783Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (27469.106 ms) ====== [2025-11-06T01:08:50.783Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-06T01:08:51.758Z] GC before operation: completed in 226.616 ms, heap usage 362.110 MB -> 90.114 MB. [2025-11-06T01:08:56.828Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:08:58.875Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:09:03.179Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:09:07.473Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:09:09.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:09:11.469Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:09:14.599Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:09:16.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:09:16.605Z] 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. [2025-11-06T01:09:16.605Z] The best model improves the baseline by 14.52%. [2025-11-06T01:09:16.605Z] Top recommended movies for user id 72: [2025-11-06T01:09:16.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:09:16.605Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:09:16.605Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:09:16.605Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:09:16.605Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:09:16.605Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (25676.020 ms) ====== [2025-11-06T01:09:16.605Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-06T01:09:17.581Z] GC before operation: completed in 298.052 ms, heap usage 242.312 MB -> 90.028 MB. [2025-11-06T01:09:21.832Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:09:26.137Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:09:29.251Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:09:33.482Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:09:36.550Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:09:38.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:09:41.636Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:09:43.658Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:09:43.658Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T01:09:43.658Z] The best model improves the baseline by 14.52%. [2025-11-06T01:09:44.645Z] Top recommended movies for user id 72: [2025-11-06T01:09:44.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:09:44.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:09:44.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:09:44.645Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:09:44.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:09:44.645Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (26851.126 ms) ====== [2025-11-06T01:09:44.645Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-06T01:09:44.645Z] GC before operation: completed in 324.293 ms, heap usage 228.636 MB -> 89.807 MB. [2025-11-06T01:09:48.866Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:09:52.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:09:56.893Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:10:01.117Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:10:04.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:10:07.393Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:10:10.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:10:12.484Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:10:13.459Z] 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. [2025-11-06T01:10:13.459Z] The best model improves the baseline by 14.52%. [2025-11-06T01:10:13.459Z] Top recommended movies for user id 72: [2025-11-06T01:10:13.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:10:13.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:10:13.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:10:13.459Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:10:13.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:10:13.459Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (29285.186 ms) ====== [2025-11-06T01:10:13.459Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-06T01:10:14.422Z] GC before operation: completed in 280.943 ms, heap usage 120.321 MB -> 89.879 MB. [2025-11-06T01:10:18.672Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:10:24.270Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:10:28.539Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:10:32.808Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:10:35.890Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:10:37.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:10:40.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:10:44.083Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:10:44.083Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T01:10:44.083Z] The best model improves the baseline by 14.52%. [2025-11-06T01:10:44.083Z] Top recommended movies for user id 72: [2025-11-06T01:10:44.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:10:44.083Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:10:44.083Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:10:44.083Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:10:44.083Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:10:44.083Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (30377.288 ms) ====== [2025-11-06T01:10:44.083Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-06T01:10:45.072Z] GC before operation: completed in 353.627 ms, heap usage 96.983 MB -> 90.079 MB. [2025-11-06T01:10:50.045Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:10:54.281Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:10:58.528Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:11:02.759Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:11:05.913Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:11:08.996Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:11:10.985Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:11:14.070Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:11:14.070Z] 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. [2025-11-06T01:11:14.070Z] The best model improves the baseline by 14.52%. [2025-11-06T01:11:15.069Z] Top recommended movies for user id 72: [2025-11-06T01:11:15.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:11:15.069Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:11:15.069Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:11:15.069Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:11:15.069Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:11:15.069Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (29841.677 ms) ====== [2025-11-06T01:11:15.069Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-06T01:11:15.069Z] GC before operation: completed in 287.897 ms, heap usage 281.814 MB -> 90.568 MB. [2025-11-06T01:11:19.326Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:11:23.563Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:11:29.052Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:11:32.143Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:11:35.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:11:37.224Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:11:40.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:11:42.755Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:11:42.755Z] 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. [2025-11-06T01:11:42.755Z] The best model improves the baseline by 14.52%. [2025-11-06T01:11:43.737Z] Top recommended movies for user id 72: [2025-11-06T01:11:43.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:11:43.737Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:11:43.737Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:11:43.737Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:11:43.737Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:11:43.737Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (28419.690 ms) ====== [2025-11-06T01:11:43.737Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-06T01:11:43.737Z] GC before operation: completed in 266.795 ms, heap usage 129.690 MB -> 90.041 MB. [2025-11-06T01:11:48.112Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:11:52.351Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:11:57.897Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:12:02.130Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:12:04.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:12:07.342Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:12:09.350Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:12:12.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:12:12.435Z] 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. [2025-11-06T01:12:13.407Z] The best model improves the baseline by 14.52%. [2025-11-06T01:12:13.407Z] Top recommended movies for user id 72: [2025-11-06T01:12:13.407Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:12:13.407Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:12:13.407Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:12:13.407Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:12:13.407Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:12:13.407Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (29519.150 ms) ====== [2025-11-06T01:12:13.407Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-06T01:12:13.407Z] GC before operation: completed in 288.506 ms, heap usage 373.141 MB -> 90.260 MB. [2025-11-06T01:12:17.714Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:12:22.121Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:12:27.603Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:12:31.856Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:12:34.060Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:12:37.955Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:12:39.948Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:12:41.944Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:12:42.917Z] 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. [2025-11-06T01:12:42.917Z] The best model improves the baseline by 14.52%. [2025-11-06T01:12:42.917Z] Top recommended movies for user id 72: [2025-11-06T01:12:42.917Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:12:42.917Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:12:42.917Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:12:42.917Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:12:42.917Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:12:42.917Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (29643.427 ms) ====== [2025-11-06T01:12:42.917Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-06T01:12:43.884Z] GC before operation: completed in 299.816 ms, heap usage 264.482 MB -> 90.180 MB. [2025-11-06T01:12:48.123Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:12:52.383Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:12:56.841Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:13:01.123Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:13:03.133Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:13:06.314Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:13:08.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:13:11.454Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:13:11.454Z] 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. [2025-11-06T01:13:11.454Z] The best model improves the baseline by 14.52%. [2025-11-06T01:13:12.428Z] Top recommended movies for user id 72: [2025-11-06T01:13:12.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:13:12.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:13:12.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:13:12.428Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:13:12.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:13:12.428Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28794.910 ms) ====== [2025-11-06T01:13:12.428Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-06T01:13:12.428Z] GC before operation: completed in 324.478 ms, heap usage 373.629 MB -> 90.182 MB. [2025-11-06T01:13:16.701Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:13:22.166Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:13:26.432Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:13:30.773Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:13:34.652Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:13:36.643Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:13:38.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:13:41.752Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:13:41.752Z] 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. [2025-11-06T01:13:41.752Z] The best model improves the baseline by 14.52%. [2025-11-06T01:13:41.752Z] Top recommended movies for user id 72: [2025-11-06T01:13:41.752Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:13:41.752Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:13:41.752Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:13:41.752Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:13:41.752Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:13:41.752Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (29457.752 ms) ====== [2025-11-06T01:13:41.752Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-06T01:13:42.718Z] GC before operation: completed in 290.819 ms, heap usage 255.739 MB -> 90.073 MB. [2025-11-06T01:13:46.961Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-06T01:13:51.213Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-06T01:13:54.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-06T01:13:58.528Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-06T01:14:00.531Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-06T01:14:03.603Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-06T01:14:05.622Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-06T01:14:07.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-06T01:14:08.590Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-11-06T01:14:08.590Z] The best model improves the baseline by 14.52%. [2025-11-06T01:14:08.590Z] Top recommended movies for user id 72: [2025-11-06T01:14:08.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-11-06T01:14:08.590Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-11-06T01:14:08.590Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-11-06T01:14:08.590Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-11-06T01:14:08.590Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-11-06T01:14:08.590Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (26221.410 ms) ====== [2025-11-06T01:14:11.658Z] ----------------------------------- [2025-11-06T01:14:11.658Z] renaissance-movie-lens_0_PASSED [2025-11-06T01:14:11.658Z] ----------------------------------- [2025-11-06T01:14:11.658Z] [2025-11-06T01:14:11.658Z] TEST TEARDOWN: [2025-11-06T01:14:11.658Z] Nothing to be done for teardown. [2025-11-06T01:14:11.658Z] renaissance-movie-lens_0 Finish Time: Thu Nov 6 01:14:10 2025 Epoch Time (ms): 1762391650786