[2025-08-30T05:00:52.733Z] Running test renaissance-movie-lens_0 ... [2025-08-30T05:00:52.733Z] =============================================== [2025-08-30T05:00:52.733Z] renaissance-movie-lens_0 Start Time: Sat Aug 30 05:00:52 2025 Epoch Time (ms): 1756530052092 [2025-08-30T05:00:52.733Z] variation: NoOptions [2025-08-30T05:00:52.733Z] JVM_OPTIONS: [2025-08-30T05:00:52.733Z] { \ [2025-08-30T05:00:52.733Z] echo ""; echo "TEST SETUP:"; \ [2025-08-30T05:00:52.733Z] echo "Nothing to be done for setup."; \ [2025-08-30T05:00:52.733Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17565286824292/renaissance-movie-lens_0"; \ [2025-08-30T05:00:52.733Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17565286824292/renaissance-movie-lens_0"; \ [2025-08-30T05:00:52.733Z] echo ""; echo "TESTING:"; \ [2025-08-30T05:00:52.733Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17565286824292/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-30T05:00:52.733Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17565286824292/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-30T05:00:52.733Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-30T05:00:52.733Z] echo "Nothing to be done for teardown."; \ [2025-08-30T05:00:52.733Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17565286824292/TestTargetResult"; [2025-08-30T05:00:52.733Z] [2025-08-30T05:00:52.733Z] TEST SETUP: [2025-08-30T05:00:52.733Z] Nothing to be done for setup. [2025-08-30T05:00:52.733Z] [2025-08-30T05:00:52.733Z] TESTING: [2025-08-30T05:01:04.114Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-30T05:01:22.300Z] 05:01:19.880 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-08-30T05:01:24.237Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-30T05:01:24.237Z] Training: 60056, validation: 20285, test: 19854 [2025-08-30T05:01:24.237Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-30T05:01:24.237Z] GC before operation: completed in 185.618 ms, heap usage 262.606 MB -> 76.135 MB. [2025-08-30T05:01:35.638Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:01:43.737Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:01:50.383Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:01:55.717Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:01:58.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:02:02.876Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:02:05.861Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:02:08.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:02:08.880Z] 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. [2025-08-30T05:02:08.880Z] The best model improves the baseline by 14.52%. [2025-08-30T05:02:09.829Z] Top recommended movies for user id 72: [2025-08-30T05:02:09.829Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:02:09.829Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:02:09.829Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:02:09.829Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:02:09.829Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:02:09.829Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (44933.740 ms) ====== [2025-08-30T05:02:09.829Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-30T05:02:09.829Z] GC before operation: completed in 239.427 ms, heap usage 261.242 MB -> 93.306 MB. [2025-08-30T05:02:15.584Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:02:19.708Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:02:25.029Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:02:29.202Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:02:32.204Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:02:35.186Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:02:38.183Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:02:41.174Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:02:41.174Z] 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. [2025-08-30T05:02:41.174Z] The best model improves the baseline by 14.52%. [2025-08-30T05:02:42.120Z] Top recommended movies for user id 72: [2025-08-30T05:02:42.120Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:02:42.120Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:02:42.120Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:02:42.120Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:02:42.120Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:02:42.120Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31912.157 ms) ====== [2025-08-30T05:02:42.120Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-30T05:02:42.120Z] GC before operation: completed in 209.517 ms, heap usage 253.625 MB -> 88.887 MB. [2025-08-30T05:02:46.255Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:02:51.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:02:55.713Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:02:59.833Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:03:01.765Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:03:04.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:03:07.884Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:03:09.826Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:03:10.762Z] 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. [2025-08-30T05:03:10.762Z] The best model improves the baseline by 14.52%. [2025-08-30T05:03:10.762Z] Top recommended movies for user id 72: [2025-08-30T05:03:10.762Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:03:10.762Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:03:10.762Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:03:10.762Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:03:10.762Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:03:10.762Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (28807.772 ms) ====== [2025-08-30T05:03:10.762Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-30T05:03:10.762Z] GC before operation: completed in 241.331 ms, heap usage 139.249 MB -> 89.381 MB. [2025-08-30T05:03:14.889Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:03:18.994Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:03:23.088Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:03:27.372Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:03:28.836Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:03:31.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:03:33.750Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:03:35.678Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:03:36.621Z] 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. [2025-08-30T05:03:36.621Z] The best model improves the baseline by 14.52%. [2025-08-30T05:03:36.621Z] Top recommended movies for user id 72: [2025-08-30T05:03:36.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:03:36.621Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:03:36.621Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:03:36.621Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:03:36.621Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:03:36.621Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25722.400 ms) ====== [2025-08-30T05:03:36.621Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-30T05:03:36.621Z] GC before operation: completed in 201.816 ms, heap usage 282.731 MB -> 89.886 MB. [2025-08-30T05:03:40.732Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:03:44.837Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:03:47.929Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:03:52.047Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:03:53.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:03:56.968Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:03:58.905Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:04:00.838Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:04:01.780Z] 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. [2025-08-30T05:04:01.780Z] The best model improves the baseline by 14.52%. [2025-08-30T05:04:01.780Z] Top recommended movies for user id 72: [2025-08-30T05:04:01.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:04:01.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:04:01.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:04:01.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:04:01.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:04:01.780Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24772.443 ms) ====== [2025-08-30T05:04:01.780Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-30T05:04:01.780Z] GC before operation: completed in 261.588 ms, heap usage 754.718 MB -> 93.642 MB. [2025-08-30T05:04:05.885Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:04:08.867Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:04:12.957Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:04:17.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:04:17.989Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:04:20.979Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:04:22.921Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:04:24.856Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:04:25.800Z] 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. [2025-08-30T05:04:25.800Z] The best model improves the baseline by 14.52%. [2025-08-30T05:04:25.800Z] Top recommended movies for user id 72: [2025-08-30T05:04:25.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:04:25.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:04:25.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:04:25.800Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:04:25.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:04:25.800Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24074.041 ms) ====== [2025-08-30T05:04:25.800Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-30T05:04:26.743Z] GC before operation: completed in 224.875 ms, heap usage 107.868 MB -> 90.041 MB. [2025-08-30T05:04:30.860Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:04:34.976Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:04:37.967Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:04:42.761Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:04:44.691Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:04:47.672Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:04:49.608Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:04:51.548Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:04:52.494Z] 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. [2025-08-30T05:04:52.494Z] The best model improves the baseline by 14.52%. [2025-08-30T05:04:52.494Z] Top recommended movies for user id 72: [2025-08-30T05:04:52.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:04:52.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:04:52.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:04:52.494Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:04:52.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:04:52.494Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26128.446 ms) ====== [2025-08-30T05:04:52.494Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-30T05:04:52.494Z] GC before operation: completed in 207.360 ms, heap usage 169.568 MB -> 90.013 MB. [2025-08-30T05:04:56.612Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:04:59.595Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:05:03.724Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:05:07.840Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:05:09.778Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:05:11.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:05:13.655Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:05:16.642Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:05:16.642Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T05:05:16.642Z] The best model improves the baseline by 14.52%. [2025-08-30T05:05:16.642Z] Top recommended movies for user id 72: [2025-08-30T05:05:16.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:05:16.642Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:05:16.642Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:05:16.642Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:05:16.642Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:05:16.642Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (24420.233 ms) ====== [2025-08-30T05:05:16.642Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-30T05:05:17.582Z] GC before operation: completed in 256.685 ms, heap usage 133.589 MB -> 90.186 MB. [2025-08-30T05:05:21.698Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:05:24.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:05:28.802Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:05:31.795Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:05:33.737Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:05:36.723Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:05:38.663Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:05:40.608Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:05:41.554Z] 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. [2025-08-30T05:05:41.554Z] The best model improves the baseline by 14.52%. [2025-08-30T05:05:41.554Z] Top recommended movies for user id 72: [2025-08-30T05:05:41.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:05:41.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:05:41.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:05:41.554Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:05:41.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:05:41.554Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (24391.683 ms) ====== [2025-08-30T05:05:41.554Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-30T05:05:41.554Z] GC before operation: completed in 248.763 ms, heap usage 179.558 MB -> 90.206 MB. [2025-08-30T05:05:45.654Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:05:49.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:05:53.132Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:05:57.240Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:05:59.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:06:01.112Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:06:04.102Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:06:06.032Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:06:06.965Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T05:06:06.965Z] The best model improves the baseline by 14.52%. [2025-08-30T05:06:06.965Z] Top recommended movies for user id 72: [2025-08-30T05:06:06.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:06:06.965Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:06:06.965Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:06:06.965Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:06:06.965Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:06:06.965Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (24900.111 ms) ====== [2025-08-30T05:06:06.965Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-30T05:06:06.965Z] GC before operation: completed in 220.705 ms, heap usage 450.088 MB -> 90.673 MB. [2025-08-30T05:06:11.071Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:06:14.076Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:06:18.188Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:06:21.169Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:06:24.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:06:26.099Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:06:28.035Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:06:31.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:06:31.030Z] 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. [2025-08-30T05:06:31.030Z] The best model improves the baseline by 14.52%. [2025-08-30T05:06:31.030Z] Top recommended movies for user id 72: [2025-08-30T05:06:31.030Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:06:31.030Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:06:31.030Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:06:31.030Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:06:31.030Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:06:31.030Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (24204.887 ms) ====== [2025-08-30T05:06:31.030Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-30T05:06:31.966Z] GC before operation: completed in 230.550 ms, heap usage 189.920 MB -> 90.070 MB. [2025-08-30T05:06:34.968Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:06:39.080Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:06:42.072Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:06:46.241Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:06:48.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:06:50.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:06:52.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:06:53.982Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:06:54.924Z] 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. [2025-08-30T05:06:54.924Z] The best model improves the baseline by 14.52%. [2025-08-30T05:06:54.924Z] Top recommended movies for user id 72: [2025-08-30T05:06:54.924Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:06:54.924Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:06:54.924Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:06:54.924Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:06:54.924Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:06:54.924Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23512.818 ms) ====== [2025-08-30T05:06:54.924Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-30T05:06:54.924Z] GC before operation: completed in 201.530 ms, heap usage 401.585 MB -> 90.519 MB. [2025-08-30T05:06:59.008Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:07:02.678Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:07:05.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:07:08.646Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:07:10.581Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:07:12.512Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:07:15.510Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:07:17.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:07:17.443Z] 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. [2025-08-30T05:07:17.443Z] The best model improves the baseline by 14.52%. [2025-08-30T05:07:17.443Z] Top recommended movies for user id 72: [2025-08-30T05:07:17.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:07:17.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:07:17.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:07:17.443Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:07:17.443Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:07:17.443Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22439.771 ms) ====== [2025-08-30T05:07:17.443Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-30T05:07:18.380Z] GC before operation: completed in 229.073 ms, heap usage 369.024 MB -> 90.587 MB. [2025-08-30T05:07:21.364Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:07:25.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:07:28.463Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:07:31.458Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:07:33.406Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:07:35.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:07:37.278Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:07:39.235Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:07:40.179Z] 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. [2025-08-30T05:07:40.179Z] The best model improves the baseline by 14.52%. [2025-08-30T05:07:40.179Z] Top recommended movies for user id 72: [2025-08-30T05:07:40.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:07:40.179Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:07:40.179Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:07:40.179Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:07:40.179Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:07:40.179Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22366.753 ms) ====== [2025-08-30T05:07:40.179Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-30T05:07:40.179Z] GC before operation: completed in 218.897 ms, heap usage 488.327 MB -> 90.568 MB. [2025-08-30T05:07:44.282Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:07:47.296Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:07:51.414Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:07:54.410Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:07:56.349Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:07:59.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:08:01.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:08:03.192Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:08:03.192Z] 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. [2025-08-30T05:08:03.192Z] The best model improves the baseline by 14.52%. [2025-08-30T05:08:04.301Z] Top recommended movies for user id 72: [2025-08-30T05:08:04.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:08:04.301Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:08:04.301Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:08:04.301Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:08:04.301Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:08:04.301Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23327.196 ms) ====== [2025-08-30T05:08:04.301Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-30T05:08:04.301Z] GC before operation: completed in 212.753 ms, heap usage 169.571 MB -> 90.450 MB. [2025-08-30T05:08:07.297Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:08:11.413Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:08:14.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:08:17.783Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:08:20.784Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:08:22.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:08:24.666Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:08:27.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:08:27.675Z] 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. [2025-08-30T05:08:27.675Z] The best model improves the baseline by 14.52%. [2025-08-30T05:08:27.675Z] Top recommended movies for user id 72: [2025-08-30T05:08:27.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:08:27.675Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:08:27.675Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:08:27.675Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:08:27.675Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:08:27.675Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23655.412 ms) ====== [2025-08-30T05:08:27.675Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-30T05:08:27.675Z] GC before operation: completed in 211.940 ms, heap usage 262.608 MB -> 90.365 MB. [2025-08-30T05:08:31.790Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:08:34.783Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:08:37.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:08:41.899Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:08:43.830Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:08:45.768Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:08:47.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:08:49.778Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:08:49.778Z] 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. [2025-08-30T05:08:49.778Z] The best model improves the baseline by 14.52%. [2025-08-30T05:08:50.719Z] Top recommended movies for user id 72: [2025-08-30T05:08:50.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:08:50.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:08:50.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:08:50.719Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:08:50.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:08:50.719Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22457.139 ms) ====== [2025-08-30T05:08:50.719Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-30T05:08:50.719Z] GC before operation: completed in 214.002 ms, heap usage 369.699 MB -> 90.604 MB. [2025-08-30T05:08:54.836Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:08:57.827Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:09:01.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:09:04.928Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:09:06.863Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:09:08.813Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:09:10.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:09:13.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:09:13.740Z] 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. [2025-08-30T05:09:13.740Z] The best model improves the baseline by 14.52%. [2025-08-30T05:09:13.741Z] Top recommended movies for user id 72: [2025-08-30T05:09:13.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:09:13.741Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:09:13.741Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:09:13.741Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:09:13.741Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:09:13.741Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23325.372 ms) ====== [2025-08-30T05:09:13.741Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-30T05:09:13.741Z] GC before operation: completed in 220.484 ms, heap usage 382.778 MB -> 90.493 MB. [2025-08-30T05:09:17.908Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:09:22.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:09:26.146Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:09:29.131Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:09:31.073Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:09:34.056Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:09:35.987Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:09:38.366Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:09:38.366Z] 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. [2025-08-30T05:09:39.317Z] The best model improves the baseline by 14.52%. [2025-08-30T05:09:39.317Z] Top recommended movies for user id 72: [2025-08-30T05:09:39.317Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:09:39.317Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:09:39.317Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:09:39.317Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:09:39.317Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:09:39.317Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (25009.003 ms) ====== [2025-08-30T05:09:39.317Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-30T05:09:39.317Z] GC before operation: completed in 242.761 ms, heap usage 211.108 MB -> 90.301 MB. [2025-08-30T05:09:43.430Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T05:09:47.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T05:09:50.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T05:09:54.642Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T05:09:56.573Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T05:09:58.550Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T05:10:00.481Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T05:10:02.419Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T05:10:03.356Z] 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. [2025-08-30T05:10:03.356Z] The best model improves the baseline by 14.52%. [2025-08-30T05:10:03.356Z] Top recommended movies for user id 72: [2025-08-30T05:10:03.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T05:10:03.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T05:10:03.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T05:10:03.356Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T05:10:03.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T05:10:03.356Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23954.570 ms) ====== [2025-08-30T05:10:04.300Z] ----------------------------------- [2025-08-30T05:10:04.300Z] renaissance-movie-lens_0_PASSED [2025-08-30T05:10:04.300Z] ----------------------------------- [2025-08-30T05:10:04.300Z] [2025-08-30T05:10:04.300Z] TEST TEARDOWN: [2025-08-30T05:10:04.300Z] Nothing to be done for teardown. [2025-08-30T05:10:04.300Z] renaissance-movie-lens_0 Finish Time: Sat Aug 30 05:10:04 2025 Epoch Time (ms): 1756530604168