[2025-12-24T23:31:46.458Z] Running test renaissance-movie-lens_0 ... [2025-12-24T23:31:46.458Z] =============================================== [2025-12-24T23:31:46.459Z] renaissance-movie-lens_0 Start Time: Wed Dec 24 23:31:45 2025 Epoch Time (ms): 1766619105818 [2025-12-24T23:31:46.459Z] variation: NoOptions [2025-12-24T23:31:46.459Z] JVM_OPTIONS: [2025-12-24T23:31:46.459Z] { \ [2025-12-24T23:31:46.459Z] echo ""; echo "TEST SETUP:"; \ [2025-12-24T23:31:46.459Z] echo "Nothing to be done for setup."; \ [2025-12-24T23:31:46.459Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17666167571812/renaissance-movie-lens_0"; \ [2025-12-24T23:31:46.459Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17666167571812/renaissance-movie-lens_0"; \ [2025-12-24T23:31:46.459Z] echo ""; echo "TESTING:"; \ [2025-12-24T23:31:46.459Z] "/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_17666167571812/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-24T23:31:46.459Z] 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_17666167571812/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-24T23:31:46.459Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-24T23:31:46.459Z] echo "Nothing to be done for teardown."; \ [2025-12-24T23:31:46.459Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17666167571812/TestTargetResult"; [2025-12-24T23:31:46.459Z] [2025-12-24T23:31:46.459Z] TEST SETUP: [2025-12-24T23:31:46.459Z] Nothing to be done for setup. [2025-12-24T23:31:46.459Z] [2025-12-24T23:31:46.459Z] TESTING: [2025-12-24T23:31:54.647Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-24T23:32:06.233Z] 23:32:04.702 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. [2025-12-24T23:32:08.199Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-24T23:32:09.156Z] Training: 60056, validation: 20285, test: 19854 [2025-12-24T23:32:09.156Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-24T23:32:09.156Z] GC before operation: completed in 141.103 ms, heap usage 470.162 MB -> 76.054 MB. [2025-12-24T23:32:19.034Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:32:25.789Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:32:31.582Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:32:36.196Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:32:39.245Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:32:42.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:32:45.517Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:32:47.495Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:32:48.460Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:32:48.460Z] The best model improves the baseline by 14.52%. [2025-12-24T23:32:48.460Z] Top recommended movies for user id 72: [2025-12-24T23:32:48.460Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:32:48.460Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:32:48.460Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:32:48.460Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:32:48.460Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:32:48.460Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (39347.664 ms) ====== [2025-12-24T23:32:48.460Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-24T23:32:48.460Z] GC before operation: completed in 228.506 ms, heap usage 172.818 MB -> 97.428 MB. [2025-12-24T23:32:53.883Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:32:56.934Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:33:01.109Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:33:05.312Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:33:07.284Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:33:10.336Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:33:12.311Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:33:15.368Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:33:15.368Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:33:15.368Z] The best model improves the baseline by 14.52%. [2025-12-24T23:33:15.368Z] Top recommended movies for user id 72: [2025-12-24T23:33:15.368Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:33:15.368Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:33:15.368Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:33:15.368Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:33:15.368Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:33:15.368Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (26852.879 ms) ====== [2025-12-24T23:33:15.368Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-24T23:33:15.368Z] GC before operation: completed in 228.087 ms, heap usage 762.077 MB -> 92.576 MB. [2025-12-24T23:33:19.648Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:33:23.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:33:27.589Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:33:31.763Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:33:33.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:33:35.700Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:33:37.661Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:33:39.631Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:33:40.590Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:33:40.590Z] The best model improves the baseline by 14.52%. [2025-12-24T23:33:40.590Z] Top recommended movies for user id 72: [2025-12-24T23:33:40.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:33:40.590Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:33:40.590Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:33:40.590Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:33:40.590Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:33:40.590Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24786.184 ms) ====== [2025-12-24T23:33:40.590Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-24T23:33:40.590Z] GC before operation: completed in 154.183 ms, heap usage 256.033 MB -> 89.484 MB. [2025-12-24T23:33:44.781Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:33:47.820Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:33:52.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:33:56.200Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:33:58.175Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:34:01.217Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:34:03.193Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:34:06.233Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:34:06.233Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:34:06.233Z] The best model improves the baseline by 14.52%. [2025-12-24T23:34:06.233Z] Top recommended movies for user id 72: [2025-12-24T23:34:06.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:34:06.233Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:34:06.233Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:34:06.233Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:34:06.233Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:34:06.233Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (25762.164 ms) ====== [2025-12-24T23:34:06.233Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-24T23:34:06.233Z] GC before operation: completed in 167.063 ms, heap usage 322.317 MB -> 89.794 MB. [2025-12-24T23:34:10.444Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:34:15.094Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:34:20.532Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:34:24.708Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:34:27.817Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:34:29.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:34:31.785Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:34:34.851Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:34:34.851Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:34:34.851Z] The best model improves the baseline by 14.52%. [2025-12-24T23:34:34.851Z] Top recommended movies for user id 72: [2025-12-24T23:34:34.851Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:34:34.851Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:34:34.851Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:34:34.851Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:34:34.851Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:34:34.851Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28557.514 ms) ====== [2025-12-24T23:34:34.851Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-24T23:34:34.851Z] GC before operation: completed in 146.305 ms, heap usage 248.917 MB -> 89.620 MB. [2025-12-24T23:34:40.301Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:34:44.888Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:34:48.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:34:53.523Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:34:55.808Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:34:57.777Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:35:00.300Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:35:03.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:35:03.740Z] 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. [2025-12-24T23:35:03.740Z] The best model improves the baseline by 14.52%. [2025-12-24T23:35:03.740Z] Top recommended movies for user id 72: [2025-12-24T23:35:03.740Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:35:03.740Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:35:03.740Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:35:03.740Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:35:03.740Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:35:03.740Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28841.163 ms) ====== [2025-12-24T23:35:03.740Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-24T23:35:04.931Z] GC before operation: completed in 139.008 ms, heap usage 120.764 MB -> 89.847 MB. [2025-12-24T23:35:09.306Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:35:13.796Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:35:18.137Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:35:22.857Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:35:24.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:35:26.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:35:28.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:35:32.187Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:35:32.187Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:35:32.187Z] The best model improves the baseline by 14.52%. [2025-12-24T23:35:32.187Z] Top recommended movies for user id 72: [2025-12-24T23:35:32.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:35:32.187Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:35:32.187Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:35:32.187Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:35:32.187Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:35:32.187Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (27865.785 ms) ====== [2025-12-24T23:35:32.187Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-24T23:35:32.187Z] GC before operation: completed in 129.983 ms, heap usage 195.440 MB -> 89.843 MB. [2025-12-24T23:35:36.577Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:35:39.740Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:35:42.800Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:35:47.179Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:35:48.131Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:35:50.864Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:35:52.840Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:35:54.813Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:35:55.874Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:35:55.874Z] The best model improves the baseline by 14.52%. [2025-12-24T23:35:55.874Z] Top recommended movies for user id 72: [2025-12-24T23:35:55.874Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:35:55.874Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:35:55.874Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:35:55.874Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:35:55.874Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:35:55.874Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23505.760 ms) ====== [2025-12-24T23:35:55.874Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-24T23:35:55.874Z] GC before operation: completed in 166.269 ms, heap usage 430.739 MB -> 90.360 MB. [2025-12-24T23:36:00.084Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:36:04.361Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:36:08.749Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:36:11.812Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:36:15.170Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:36:17.300Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:36:19.396Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:36:21.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:36:21.545Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:36:21.545Z] The best model improves the baseline by 14.52%. [2025-12-24T23:36:22.503Z] Top recommended movies for user id 72: [2025-12-24T23:36:22.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:36:22.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:36:22.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:36:22.503Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:36:22.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:36:22.503Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26357.871 ms) ====== [2025-12-24T23:36:22.503Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-24T23:36:22.503Z] GC before operation: completed in 303.029 ms, heap usage 802.248 MB -> 93.965 MB. [2025-12-24T23:36:26.753Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:36:29.809Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:36:34.006Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:36:37.069Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:36:39.818Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:36:41.792Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:36:43.769Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:36:45.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:36:45.784Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:36:45.784Z] The best model improves the baseline by 14.52%. [2025-12-24T23:36:45.784Z] Top recommended movies for user id 72: [2025-12-24T23:36:45.784Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:36:45.784Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:36:45.784Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:36:45.784Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:36:45.784Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:36:45.784Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23616.362 ms) ====== [2025-12-24T23:36:45.784Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-24T23:36:46.753Z] GC before operation: completed in 163.474 ms, heap usage 495.719 MB -> 90.589 MB. [2025-12-24T23:36:49.829Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:36:54.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:36:57.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:37:01.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:37:03.260Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:37:05.231Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:37:07.202Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:37:09.178Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:37:09.178Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:37:09.178Z] The best model improves the baseline by 14.52%. [2025-12-24T23:37:10.147Z] Top recommended movies for user id 72: [2025-12-24T23:37:10.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:37:10.147Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:37:10.147Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:37:10.147Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:37:10.147Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:37:10.147Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23422.016 ms) ====== [2025-12-24T23:37:10.147Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-24T23:37:10.147Z] GC before operation: completed in 146.667 ms, heap usage 382.842 MB -> 90.224 MB. [2025-12-24T23:37:13.199Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:37:17.543Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:37:20.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:37:23.630Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:37:25.623Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:37:28.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:37:30.152Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:37:32.119Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:37:33.085Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:37:33.085Z] The best model improves the baseline by 14.52%. [2025-12-24T23:37:33.085Z] Top recommended movies for user id 72: [2025-12-24T23:37:33.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:37:33.085Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:37:33.085Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:37:33.085Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:37:33.085Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:37:33.085Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23092.691 ms) ====== [2025-12-24T23:37:33.085Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-24T23:37:33.085Z] GC before operation: completed in 170.143 ms, heap usage 398.702 MB -> 90.411 MB. [2025-12-24T23:37:37.268Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:37:40.318Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:37:44.685Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:37:47.731Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:37:49.710Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:37:52.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:37:54.729Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:37:56.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:37:57.673Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:37:57.673Z] The best model improves the baseline by 14.52%. [2025-12-24T23:37:57.673Z] Top recommended movies for user id 72: [2025-12-24T23:37:57.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:37:57.673Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:37:57.673Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:37:57.673Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:37:57.673Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:37:57.673Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (24556.349 ms) ====== [2025-12-24T23:37:57.673Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-24T23:37:57.673Z] GC before operation: completed in 169.797 ms, heap usage 375.676 MB -> 90.557 MB. [2025-12-24T23:38:01.863Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:38:04.905Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:38:07.956Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:38:10.997Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:38:14.046Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:38:16.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:38:17.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:38:19.407Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:38:20.363Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:38:20.363Z] The best model improves the baseline by 14.52%. [2025-12-24T23:38:20.363Z] Top recommended movies for user id 72: [2025-12-24T23:38:20.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:38:20.363Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:38:20.363Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:38:20.363Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:38:20.363Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:38:20.363Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22503.667 ms) ====== [2025-12-24T23:38:20.363Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-24T23:38:20.363Z] GC before operation: completed in 154.291 ms, heap usage 380.265 MB -> 90.345 MB. [2025-12-24T23:38:24.564Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:38:27.606Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:38:30.654Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:38:33.698Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:38:35.664Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:38:37.649Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:38:39.622Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:38:41.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:38:41.607Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:38:41.607Z] The best model improves the baseline by 14.52%. [2025-12-24T23:38:41.607Z] Top recommended movies for user id 72: [2025-12-24T23:38:41.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:38:41.607Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:38:41.607Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:38:41.607Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:38:41.607Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:38:41.607Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21414.585 ms) ====== [2025-12-24T23:38:41.607Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-24T23:38:42.566Z] GC before operation: completed in 162.638 ms, heap usage 215.731 MB -> 90.346 MB. [2025-12-24T23:38:45.606Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:38:48.657Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:38:52.842Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:38:55.893Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:38:56.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:38:58.834Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:39:02.575Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:39:03.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:39:03.545Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:39:03.545Z] The best model improves the baseline by 14.52%. [2025-12-24T23:39:03.545Z] Top recommended movies for user id 72: [2025-12-24T23:39:03.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:39:03.545Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:39:03.545Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:39:03.545Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:39:03.545Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:39:03.545Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21710.049 ms) ====== [2025-12-24T23:39:03.545Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-24T23:39:04.507Z] GC before operation: completed in 174.806 ms, heap usage 517.840 MB -> 90.612 MB. [2025-12-24T23:39:07.559Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:39:11.760Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:39:14.815Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:39:17.879Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:39:20.919Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:39:22.891Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:39:24.856Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:39:26.829Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:39:26.829Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:39:26.829Z] The best model improves the baseline by 14.52%. [2025-12-24T23:39:26.829Z] Top recommended movies for user id 72: [2025-12-24T23:39:26.829Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:39:26.829Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:39:26.829Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:39:26.829Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:39:26.829Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:39:26.829Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23174.719 ms) ====== [2025-12-24T23:39:26.829Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-24T23:39:27.788Z] GC before operation: completed in 150.683 ms, heap usage 180.135 MB -> 90.246 MB. [2025-12-24T23:39:31.976Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:39:35.031Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:39:39.273Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:39:42.323Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:39:44.298Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:39:46.266Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:39:49.307Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:39:50.971Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:39:50.971Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:39:50.971Z] The best model improves the baseline by 14.52%. [2025-12-24T23:39:50.971Z] Top recommended movies for user id 72: [2025-12-24T23:39:50.972Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:39:50.972Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:39:50.972Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:39:50.972Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:39:50.972Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:39:50.972Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23941.763 ms) ====== [2025-12-24T23:39:50.972Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-24T23:39:51.930Z] GC before operation: completed in 176.307 ms, heap usage 163.336 MB -> 90.143 MB. [2025-12-24T23:39:54.974Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:39:58.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:40:01.059Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:40:05.292Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:40:06.250Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:40:08.270Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:40:10.259Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:40:12.401Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:40:12.401Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:40:13.358Z] The best model improves the baseline by 14.52%. [2025-12-24T23:40:13.358Z] Top recommended movies for user id 72: [2025-12-24T23:40:13.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:40:13.358Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:40:13.358Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:40:13.358Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:40:13.358Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:40:13.358Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21513.658 ms) ====== [2025-12-24T23:40:13.358Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-24T23:40:13.358Z] GC before operation: completed in 298.524 ms, heap usage 458.465 MB -> 90.529 MB. [2025-12-24T23:40:16.665Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T23:40:19.700Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T23:40:24.010Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T23:40:27.075Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T23:40:29.253Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T23:40:31.228Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T23:40:33.348Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T23:40:35.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T23:40:36.455Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-24T23:40:36.455Z] The best model improves the baseline by 14.52%. [2025-12-24T23:40:36.455Z] Top recommended movies for user id 72: [2025-12-24T23:40:36.455Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-24T23:40:36.455Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-24T23:40:36.455Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-24T23:40:36.455Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-24T23:40:36.455Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-24T23:40:36.455Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23174.830 ms) ====== [2025-12-24T23:40:40.035Z] ----------------------------------- [2025-12-24T23:40:40.035Z] renaissance-movie-lens_0_PASSED [2025-12-24T23:40:40.035Z] ----------------------------------- [2025-12-24T23:40:40.035Z] [2025-12-24T23:40:40.035Z] TEST TEARDOWN: [2025-12-24T23:40:40.035Z] Nothing to be done for teardown. [2025-12-24T23:40:40.035Z] renaissance-movie-lens_0 Finish Time: Wed Dec 24 23:40:38 2025 Epoch Time (ms): 1766619638888