[2025-10-02T16:59:44.555Z] Running test renaissance-movie-lens_0 ... [2025-10-02T16:59:44.555Z] =============================================== [2025-10-02T16:59:44.555Z] renaissance-movie-lens_0 Start Time: Thu Oct 2 16:59:44 2025 Epoch Time (ms): 1759424384196 [2025-10-02T16:59:44.555Z] variation: NoOptions [2025-10-02T16:59:44.555Z] JVM_OPTIONS: [2025-10-02T16:59:44.555Z] { \ [2025-10-02T16:59:44.555Z] echo ""; echo "TEST SETUP:"; \ [2025-10-02T16:59:44.555Z] echo "Nothing to be done for setup."; \ [2025-10-02T16:59:44.555Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17594231767248/renaissance-movie-lens_0"; \ [2025-10-02T16:59:44.555Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17594231767248/renaissance-movie-lens_0"; \ [2025-10-02T16:59:44.555Z] echo ""; echo "TESTING:"; \ [2025-10-02T16:59:44.555Z] "/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_17594231767248/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-02T16:59:44.555Z] 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_17594231767248/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-02T16:59:44.555Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-02T16:59:44.555Z] echo "Nothing to be done for teardown."; \ [2025-10-02T16:59:44.555Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17594231767248/TestTargetResult"; [2025-10-02T16:59:44.555Z] [2025-10-02T16:59:44.555Z] TEST SETUP: [2025-10-02T16:59:44.555Z] Nothing to be done for setup. [2025-10-02T16:59:44.555Z] [2025-10-02T16:59:44.555Z] TESTING: [2025-10-02T16:59:51.313Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-10-02T16:59:59.545Z] 16:59:59.177 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-10-02T17:00:01.536Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-02T17:00:02.689Z] Training: 60056, validation: 20285, test: 19854 [2025-10-02T17:00:02.689Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-02T17:00:02.689Z] GC before operation: completed in 134.347 ms, heap usage 207.764 MB -> 76.055 MB. [2025-10-02T17:00:10.940Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:00:16.373Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:00:20.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:00:24.777Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:00:26.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:00:29.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:00:32.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:00:35.921Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:00:35.921Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-10-02T17:00:35.921Z] The best model improves the baseline by 14.52%. [2025-10-02T17:00:36.890Z] Top recommended movies for user id 72: [2025-10-02T17:00:36.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:00:36.890Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:00:36.890Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:00:36.890Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:00:36.890Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:00:36.890Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34047.243 ms) ====== [2025-10-02T17:00:36.890Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-02T17:00:36.890Z] GC before operation: completed in 193.015 ms, heap usage 180.885 MB -> 93.975 MB. [2025-10-02T17:00:41.091Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:00:46.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:00:49.089Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:00:52.136Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:00:55.190Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:00:57.178Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:00:59.155Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:01:01.134Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:01:02.099Z] 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. [2025-10-02T17:01:02.099Z] The best model improves the baseline by 14.52%. [2025-10-02T17:01:02.099Z] Top recommended movies for user id 72: [2025-10-02T17:01:02.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:01:02.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:01:02.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:01:02.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:01:02.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:01:02.099Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25204.152 ms) ====== [2025-10-02T17:01:02.099Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-02T17:01:02.099Z] GC before operation: completed in 182.449 ms, heap usage 287.461 MB -> 88.977 MB. [2025-10-02T17:01:06.310Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:01:09.377Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:01:13.577Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:01:16.631Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:01:18.609Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:01:20.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:01:22.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:01:24.578Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:01:24.578Z] 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. [2025-10-02T17:01:24.578Z] The best model improves the baseline by 14.52%. [2025-10-02T17:01:25.541Z] Top recommended movies for user id 72: [2025-10-02T17:01:25.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:01:25.541Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:01:25.541Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:01:25.541Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:01:25.541Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:01:25.541Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22882.332 ms) ====== [2025-10-02T17:01:25.541Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-02T17:01:25.541Z] GC before operation: completed in 159.143 ms, heap usage 101.929 MB -> 89.359 MB. [2025-10-02T17:01:28.593Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:01:31.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:01:35.838Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:01:38.896Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:01:41.955Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:01:43.624Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:01:45.613Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:01:47.592Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:01:47.592Z] 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. [2025-10-02T17:01:47.592Z] The best model improves the baseline by 14.52%. [2025-10-02T17:01:47.592Z] Top recommended movies for user id 72: [2025-10-02T17:01:47.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:01:47.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:01:47.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:01:47.593Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:01:47.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:01:47.593Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22551.514 ms) ====== [2025-10-02T17:01:47.593Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-02T17:01:47.593Z] GC before operation: completed in 165.741 ms, heap usage 280.139 MB -> 89.859 MB. [2025-10-02T17:01:51.787Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:01:54.851Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:01:57.913Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:02:00.967Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:02:02.946Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:02:04.929Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:02:06.908Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:02:08.894Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:02:08.894Z] 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. [2025-10-02T17:02:08.894Z] The best model improves the baseline by 14.52%. [2025-10-02T17:02:08.894Z] Top recommended movies for user id 72: [2025-10-02T17:02:08.894Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:02:08.894Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:02:08.894Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:02:08.894Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:02:08.894Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:02:08.894Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21232.709 ms) ====== [2025-10-02T17:02:08.894Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-02T17:02:09.863Z] GC before operation: completed in 215.034 ms, heap usage 130.232 MB -> 89.579 MB. [2025-10-02T17:02:12.935Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:02:15.989Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:02:19.049Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:02:23.263Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:02:25.240Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:02:26.201Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:02:28.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:02:30.162Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:02:31.129Z] 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. [2025-10-02T17:02:31.129Z] The best model improves the baseline by 14.52%. [2025-10-02T17:02:31.129Z] Top recommended movies for user id 72: [2025-10-02T17:02:31.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:02:31.129Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:02:31.129Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:02:31.129Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:02:31.129Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:02:31.129Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21427.027 ms) ====== [2025-10-02T17:02:31.129Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-02T17:02:31.129Z] GC before operation: completed in 161.717 ms, heap usage 620.668 MB -> 93.840 MB. [2025-10-02T17:02:34.182Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:02:37.401Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:02:42.316Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:02:44.298Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:02:46.279Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:02:48.254Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:02:50.235Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:02:52.221Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:02:52.221Z] 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. [2025-10-02T17:02:52.221Z] The best model improves the baseline by 14.52%. [2025-10-02T17:02:52.221Z] Top recommended movies for user id 72: [2025-10-02T17:02:52.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:02:52.221Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:02:52.221Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:02:52.221Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:02:52.221Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:02:52.221Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21262.090 ms) ====== [2025-10-02T17:02:52.221Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-02T17:02:52.221Z] GC before operation: completed in 175.221 ms, heap usage 644.246 MB -> 94.969 MB. [2025-10-02T17:02:56.429Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:02:58.408Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:03:02.608Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:03:05.660Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:03:07.637Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:03:09.686Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:03:11.668Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:03:13.654Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:03:13.654Z] 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. [2025-10-02T17:03:13.654Z] The best model improves the baseline by 14.52%. [2025-10-02T17:03:13.654Z] Top recommended movies for user id 72: [2025-10-02T17:03:13.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:03:13.654Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:03:13.654Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:03:13.654Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:03:13.654Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:03:13.654Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21247.652 ms) ====== [2025-10-02T17:03:13.654Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-02T17:03:13.654Z] GC before operation: completed in 179.204 ms, heap usage 366.985 MB -> 90.408 MB. [2025-10-02T17:03:17.857Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:03:20.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:03:23.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:03:27.044Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:03:29.028Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:03:31.008Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:03:32.989Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:03:34.975Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:03:34.975Z] 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. [2025-10-02T17:03:34.975Z] The best model improves the baseline by 14.52%. [2025-10-02T17:03:35.936Z] Top recommended movies for user id 72: [2025-10-02T17:03:35.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:03:35.936Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:03:35.936Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:03:35.936Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:03:35.936Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:03:35.936Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21583.531 ms) ====== [2025-10-02T17:03:35.936Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-02T17:03:35.936Z] GC before operation: completed in 176.904 ms, heap usage 456.974 MB -> 90.473 MB. [2025-10-02T17:03:39.696Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:03:42.749Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:03:45.806Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:03:48.854Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:03:50.830Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:03:52.819Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:03:54.801Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:03:56.783Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:03:57.747Z] 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. [2025-10-02T17:03:57.747Z] The best model improves the baseline by 14.52%. [2025-10-02T17:03:57.747Z] Top recommended movies for user id 72: [2025-10-02T17:03:57.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:03:57.747Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:03:57.747Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:03:57.747Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:03:57.747Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:03:57.747Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21824.922 ms) ====== [2025-10-02T17:03:57.747Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-02T17:03:57.747Z] GC before operation: completed in 170.205 ms, heap usage 308.260 MB -> 90.476 MB. [2025-10-02T17:04:00.794Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:04:03.844Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:04:06.893Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:04:09.942Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:04:11.950Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:04:13.942Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:04:15.963Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:04:17.939Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:04:17.939Z] 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. [2025-10-02T17:04:17.939Z] The best model improves the baseline by 14.52%. [2025-10-02T17:04:18.904Z] Top recommended movies for user id 72: [2025-10-02T17:04:18.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:04:18.904Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:04:18.904Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:04:18.904Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:04:18.904Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:04:18.904Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20855.207 ms) ====== [2025-10-02T17:04:18.904Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-02T17:04:18.904Z] GC before operation: completed in 205.051 ms, heap usage 210.956 MB -> 90.011 MB. [2025-10-02T17:04:21.965Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:04:25.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:04:28.091Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:04:31.150Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:04:33.130Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:04:36.185Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:04:37.619Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:04:39.598Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:04:40.744Z] 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. [2025-10-02T17:04:40.744Z] The best model improves the baseline by 14.52%. [2025-10-02T17:04:40.744Z] Top recommended movies for user id 72: [2025-10-02T17:04:40.744Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:04:40.744Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:04:40.744Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:04:40.744Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:04:40.744Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:04:40.744Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21627.478 ms) ====== [2025-10-02T17:04:40.744Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-02T17:04:40.744Z] GC before operation: completed in 192.098 ms, heap usage 177.229 MB -> 90.273 MB. [2025-10-02T17:04:43.803Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:04:46.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:04:49.917Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:04:52.980Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:04:54.957Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:04:56.941Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:04:58.919Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:05:00.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:05:01.865Z] 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. [2025-10-02T17:05:01.865Z] The best model improves the baseline by 14.52%. [2025-10-02T17:05:01.865Z] Top recommended movies for user id 72: [2025-10-02T17:05:01.865Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:05:01.865Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:05:01.865Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:05:01.865Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:05:01.865Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:05:01.865Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21177.408 ms) ====== [2025-10-02T17:05:01.865Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-02T17:05:01.865Z] GC before operation: completed in 181.615 ms, heap usage 229.171 MB -> 90.324 MB. [2025-10-02T17:05:04.908Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:05:07.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:05:11.017Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:05:14.070Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:05:16.050Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:05:18.033Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:05:20.010Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:05:21.990Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:05:22.955Z] 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. [2025-10-02T17:05:22.955Z] The best model improves the baseline by 14.52%. [2025-10-02T17:05:22.955Z] Top recommended movies for user id 72: [2025-10-02T17:05:22.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:05:22.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:05:22.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:05:22.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:05:22.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:05:22.955Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (20862.044 ms) ====== [2025-10-02T17:05:22.955Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-02T17:05:22.955Z] GC before operation: completed in 160.987 ms, heap usage 185.564 MB -> 90.169 MB. [2025-10-02T17:05:26.009Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:05:29.060Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:05:33.251Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:05:36.782Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:05:37.744Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:05:39.725Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:05:42.803Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:05:43.770Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:05:44.733Z] 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. [2025-10-02T17:05:44.733Z] The best model improves the baseline by 14.52%. [2025-10-02T17:05:44.733Z] Top recommended movies for user id 72: [2025-10-02T17:05:44.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:05:44.733Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:05:44.733Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:05:44.733Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:05:44.733Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:05:44.733Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21685.995 ms) ====== [2025-10-02T17:05:44.733Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-02T17:05:44.733Z] GC before operation: completed in 165.669 ms, heap usage 136.455 MB -> 90.304 MB. [2025-10-02T17:05:47.790Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:05:52.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:05:55.048Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:05:58.100Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:06:00.079Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:06:02.053Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:06:04.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:06:06.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:06:06.061Z] 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. [2025-10-02T17:06:06.061Z] The best model improves the baseline by 14.52%. [2025-10-02T17:06:07.022Z] Top recommended movies for user id 72: [2025-10-02T17:06:07.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:06:07.022Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:06:07.022Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:06:07.022Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:06:07.022Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:06:07.022Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21867.750 ms) ====== [2025-10-02T17:06:07.022Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-02T17:06:07.022Z] GC before operation: completed in 174.009 ms, heap usage 471.673 MB -> 90.551 MB. [2025-10-02T17:06:10.077Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:06:13.130Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:06:16.197Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:06:20.395Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:06:21.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:06:23.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:06:25.320Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:06:27.303Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:06:27.303Z] 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. [2025-10-02T17:06:28.265Z] The best model improves the baseline by 14.52%. [2025-10-02T17:06:28.265Z] Top recommended movies for user id 72: [2025-10-02T17:06:28.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:06:28.265Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:06:28.266Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:06:28.266Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:06:28.266Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:06:28.266Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21102.001 ms) ====== [2025-10-02T17:06:28.266Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-02T17:06:28.266Z] GC before operation: completed in 177.759 ms, heap usage 651.015 MB -> 94.065 MB. [2025-10-02T17:06:32.040Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:06:34.039Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:06:37.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:06:40.177Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:06:42.153Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:06:45.206Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:06:46.168Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:06:48.154Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:06:49.115Z] 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. [2025-10-02T17:06:49.115Z] The best model improves the baseline by 14.52%. [2025-10-02T17:06:49.115Z] Top recommended movies for user id 72: [2025-10-02T17:06:49.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:06:49.115Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:06:49.115Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:06:49.115Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:06:49.115Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:06:49.115Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20830.887 ms) ====== [2025-10-02T17:06:49.115Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-02T17:06:49.115Z] GC before operation: completed in 165.106 ms, heap usage 135.362 MB -> 90.072 MB. [2025-10-02T17:06:53.307Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:06:56.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:06:59.421Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:07:02.470Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:07:05.522Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:07:07.495Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:07:09.473Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:07:11.451Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:07:11.451Z] 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. [2025-10-02T17:07:11.451Z] The best model improves the baseline by 14.52%. [2025-10-02T17:07:11.451Z] Top recommended movies for user id 72: [2025-10-02T17:07:11.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:07:11.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:07:11.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:07:11.451Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:07:11.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:07:11.451Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22582.493 ms) ====== [2025-10-02T17:07:11.451Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-02T17:07:11.451Z] GC before operation: completed in 177.099 ms, heap usage 124.535 MB -> 90.153 MB. [2025-10-02T17:07:15.649Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-02T17:07:18.735Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-02T17:07:21.857Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-02T17:07:24.911Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-02T17:07:26.580Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-02T17:07:28.558Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-02T17:07:30.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-02T17:07:32.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-02T17:07:33.477Z] 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. [2025-10-02T17:07:33.477Z] The best model improves the baseline by 14.52%. [2025-10-02T17:07:33.477Z] Top recommended movies for user id 72: [2025-10-02T17:07:33.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-10-02T17:07:33.477Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-10-02T17:07:33.477Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-10-02T17:07:33.477Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-10-02T17:07:33.477Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-10-02T17:07:33.477Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21556.398 ms) ====== [2025-10-02T17:07:34.441Z] ----------------------------------- [2025-10-02T17:07:34.441Z] renaissance-movie-lens_0_PASSED [2025-10-02T17:07:34.441Z] ----------------------------------- [2025-10-02T17:07:34.441Z] [2025-10-02T17:07:34.441Z] TEST TEARDOWN: [2025-10-02T17:07:34.441Z] Nothing to be done for teardown. [2025-10-02T17:07:34.441Z] renaissance-movie-lens_0 Finish Time: Thu Oct 2 17:07:33 2025 Epoch Time (ms): 1759424853682