[2025-06-20T00:47:02.504Z] Running test renaissance-movie-lens_0 ... [2025-06-20T00:47:02.504Z] =============================================== [2025-06-20T00:47:02.504Z] renaissance-movie-lens_0 Start Time: Fri Jun 20 00:47:02 2025 Epoch Time (ms): 1750380422080 [2025-06-20T00:47:02.504Z] variation: NoOptions [2025-06-20T00:47:02.504Z] JVM_OPTIONS: [2025-06-20T00:47:02.504Z] { \ [2025-06-20T00:47:02.504Z] echo ""; echo "TEST SETUP:"; \ [2025-06-20T00:47:02.504Z] echo "Nothing to be done for setup."; \ [2025-06-20T00:47:02.504Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17503743306918/renaissance-movie-lens_0"; \ [2025-06-20T00:47:02.504Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17503743306918/renaissance-movie-lens_0"; \ [2025-06-20T00:47:02.504Z] echo ""; echo "TESTING:"; \ [2025-06-20T00:47:02.504Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17503743306918/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-20T00:47:02.504Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17503743306918/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-20T00:47:02.504Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-20T00:47:02.504Z] echo "Nothing to be done for teardown."; \ [2025-06-20T00:47:02.504Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17503743306918/TestTargetResult"; [2025-06-20T00:47:02.504Z] [2025-06-20T00:47:02.504Z] TEST SETUP: [2025-06-20T00:47:02.504Z] Nothing to be done for setup. [2025-06-20T00:47:02.504Z] [2025-06-20T00:47:02.504Z] TESTING: [2025-06-20T00:47:05.087Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-06-20T00:47:05.087Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17503743306918/renaissance-movie-lens_0/launcher-004702-1521100677752536380/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-06-20T00:47:05.087Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-06-20T00:47:05.087Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-06-20T00:47:35.988Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-20T00:48:07.128Z] 00:48:06.434 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-20T00:48:21.560Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-20T00:48:23.264Z] Training: 60056, validation: 20285, test: 19854 [2025-06-20T00:48:23.264Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-20T00:48:24.108Z] GC before operation: completed in 709.528 ms, heap usage 421.258 MB -> 75.910 MB. [2025-06-20T00:49:07.914Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T00:49:31.051Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T00:49:50.789Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T00:50:07.581Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T00:50:17.660Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T00:50:30.113Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T00:50:40.454Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T00:50:50.782Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T00:50:51.654Z] 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. [2025-06-20T00:50:51.654Z] The best model improves the baseline by 14.52%. [2025-06-20T00:50:53.369Z] Top recommended movies for user id 72: [2025-06-20T00:50:53.369Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T00:50:53.369Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T00:50:53.369Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T00:50:53.369Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T00:50:53.369Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T00:50:53.369Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (148993.861 ms) ====== [2025-06-20T00:50:53.369Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-20T00:50:54.177Z] GC before operation: completed in 924.779 ms, heap usage 308.265 MB -> 86.420 MB. [2025-06-20T00:51:10.588Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T00:51:27.395Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T00:51:41.752Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T00:51:53.858Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T00:52:02.474Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T00:52:09.471Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T00:52:18.189Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T00:52:26.829Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T00:52:27.642Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-20T00:52:27.642Z] The best model improves the baseline by 14.52%. [2025-06-20T00:52:28.459Z] Top recommended movies for user id 72: [2025-06-20T00:52:28.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T00:52:28.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T00:52:28.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T00:52:28.459Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T00:52:28.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T00:52:28.459Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (94136.764 ms) ====== [2025-06-20T00:52:28.459Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-20T00:52:29.277Z] GC before operation: completed in 798.039 ms, heap usage 161.073 MB -> 90.263 MB. [2025-06-20T00:52:45.966Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T00:53:00.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T00:53:16.142Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T00:53:30.415Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T00:53:40.691Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T00:53:49.312Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T00:53:57.981Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T00:54:06.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T00:54:08.369Z] 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. [2025-06-20T00:54:09.181Z] The best model improves the baseline by 14.52%. [2025-06-20T00:54:09.182Z] Top recommended movies for user id 72: [2025-06-20T00:54:09.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T00:54:09.182Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T00:54:09.182Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T00:54:09.182Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T00:54:09.182Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T00:54:09.182Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (100422.829 ms) ====== [2025-06-20T00:54:09.182Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-20T00:54:10.851Z] GC before operation: completed in 867.907 ms, heap usage 492.546 MB -> 89.485 MB. [2025-06-20T00:54:25.157Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T00:54:39.393Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T00:54:53.634Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T00:55:04.180Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T00:55:12.875Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T00:55:21.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T00:55:28.742Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T00:55:35.910Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T00:55:37.597Z] 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. [2025-06-20T00:55:37.597Z] The best model improves the baseline by 14.52%. [2025-06-20T00:55:37.597Z] Top recommended movies for user id 72: [2025-06-20T00:55:37.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T00:55:37.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T00:55:37.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T00:55:37.597Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T00:55:37.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T00:55:37.597Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (87519.989 ms) ====== [2025-06-20T00:55:37.597Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-20T00:55:38.412Z] GC before operation: completed in 729.417 ms, heap usage 309.034 MB -> 89.604 MB. [2025-06-20T00:55:52.652Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T00:56:04.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T00:56:20.255Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T00:56:30.508Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T00:56:39.161Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T00:56:46.335Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T00:56:53.603Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T00:57:00.762Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T00:57:01.577Z] 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. [2025-06-20T00:57:01.577Z] The best model improves the baseline by 14.52%. [2025-06-20T00:57:02.395Z] Top recommended movies for user id 72: [2025-06-20T00:57:02.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T00:57:02.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T00:57:02.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T00:57:02.395Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T00:57:02.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T00:57:02.395Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (83459.115 ms) ====== [2025-06-20T00:57:02.395Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-20T00:57:03.214Z] GC before operation: completed in 839.902 ms, heap usage 295.680 MB -> 89.503 MB. [2025-06-20T00:57:15.474Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T00:57:26.060Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T00:57:38.183Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T00:57:52.021Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T00:57:57.906Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T00:58:05.062Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T00:58:12.222Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T00:58:19.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T00:58:20.334Z] 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. [2025-06-20T00:58:20.334Z] The best model improves the baseline by 14.52%. [2025-06-20T00:58:20.334Z] Top recommended movies for user id 72: [2025-06-20T00:58:20.334Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T00:58:20.334Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T00:58:20.334Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T00:58:20.334Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T00:58:20.334Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T00:58:20.334Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (77425.229 ms) ====== [2025-06-20T00:58:20.334Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-20T00:58:21.170Z] GC before operation: completed in 730.178 ms, heap usage 487.750 MB -> 90.076 MB. [2025-06-20T00:58:33.280Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T00:58:43.265Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T00:58:55.357Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T00:59:05.886Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T00:59:11.733Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T00:59:18.907Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T00:59:26.089Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T00:59:32.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T00:59:33.300Z] 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. [2025-06-20T00:59:33.300Z] The best model improves the baseline by 14.52%. [2025-06-20T00:59:34.107Z] Top recommended movies for user id 72: [2025-06-20T00:59:34.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T00:59:34.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T00:59:34.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T00:59:34.107Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T00:59:34.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T00:59:34.107Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (72512.453 ms) ====== [2025-06-20T00:59:34.107Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-20T00:59:34.917Z] GC before operation: completed in 801.759 ms, heap usage 489.788 MB -> 90.040 MB. [2025-06-20T00:59:45.161Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T00:59:57.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:00:09.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:00:16.590Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:00:22.728Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:00:28.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:00:34.725Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:00:41.902Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:00:42.710Z] 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. [2025-06-20T01:00:42.710Z] The best model improves the baseline by 14.52%. [2025-06-20T01:00:43.542Z] Top recommended movies for user id 72: [2025-06-20T01:00:43.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:00:43.542Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:00:43.542Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:00:43.542Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:00:43.542Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:00:43.542Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (68843.352 ms) ====== [2025-06-20T01:00:43.542Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-20T01:00:44.357Z] GC before operation: completed in 866.084 ms, heap usage 180.223 MB -> 93.952 MB. [2025-06-20T01:00:54.640Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T01:01:05.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:01:15.323Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:01:26.927Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:01:32.790Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:01:40.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:01:45.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:01:52.986Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:01:53.833Z] 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. [2025-06-20T01:01:53.833Z] The best model improves the baseline by 14.52%. [2025-06-20T01:01:54.647Z] Top recommended movies for user id 72: [2025-06-20T01:01:54.647Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:01:54.647Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:01:54.647Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:01:54.647Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:01:54.647Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:01:54.647Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (70239.378 ms) ====== [2025-06-20T01:01:54.647Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-20T01:01:55.456Z] GC before operation: completed in 695.278 ms, heap usage 312.958 MB -> 89.869 MB. [2025-06-20T01:02:07.571Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T01:02:19.178Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:02:31.287Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:02:43.392Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:02:49.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:02:56.401Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:03:03.665Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:03:11.000Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:03:11.812Z] 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. [2025-06-20T01:03:11.812Z] The best model improves the baseline by 14.52%. [2025-06-20T01:03:12.645Z] Top recommended movies for user id 72: [2025-06-20T01:03:12.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:03:12.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:03:12.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:03:12.645Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:03:12.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:03:12.645Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (77367.628 ms) ====== [2025-06-20T01:03:12.645Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-20T01:03:13.455Z] GC before operation: completed in 848.614 ms, heap usage 357.654 MB -> 90.203 MB. [2025-06-20T01:03:25.694Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T01:03:35.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:03:48.132Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:03:58.454Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:04:05.869Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:04:13.177Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:04:21.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:04:29.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:04:29.955Z] 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. [2025-06-20T01:04:29.955Z] The best model improves the baseline by 14.52%. [2025-06-20T01:04:29.955Z] Top recommended movies for user id 72: [2025-06-20T01:04:29.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:04:29.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:04:29.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:04:29.955Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:04:29.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:04:29.955Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (76945.310 ms) ====== [2025-06-20T01:04:29.955Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-20T01:04:30.767Z] GC before operation: completed in 741.829 ms, heap usage 113.930 MB -> 93.381 MB. [2025-06-20T01:04:44.983Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T01:04:54.646Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:05:04.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:05:15.233Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:05:22.444Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:05:28.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:05:35.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:05:41.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:05:42.434Z] 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. [2025-06-20T01:05:42.434Z] The best model improves the baseline by 14.52%. [2025-06-20T01:05:42.434Z] Top recommended movies for user id 72: [2025-06-20T01:05:42.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:05:42.434Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:05:42.434Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:05:42.434Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:05:42.434Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:05:42.434Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (71555.264 ms) ====== [2025-06-20T01:05:42.434Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-20T01:05:44.763Z] GC before operation: completed in 800.683 ms, heap usage 263.815 MB -> 89.974 MB. [2025-06-20T01:05:55.086Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T01:06:05.536Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:06:15.905Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:06:26.334Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:06:33.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:06:40.054Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:06:47.321Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:06:53.273Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:06:54.980Z] 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. [2025-06-20T01:06:54.980Z] The best model improves the baseline by 14.52%. [2025-06-20T01:06:55.826Z] Top recommended movies for user id 72: [2025-06-20T01:06:55.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:06:55.827Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:06:55.827Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:06:55.827Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:06:55.827Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:06:55.827Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (72207.653 ms) ====== [2025-06-20T01:06:55.827Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-20T01:06:56.663Z] GC before operation: completed in 679.195 ms, heap usage 126.519 MB -> 91.213 MB. [2025-06-20T01:07:08.944Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T01:07:21.234Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:07:34.456Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:07:46.706Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:07:54.049Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:08:01.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:08:08.564Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:08:14.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:08:16.277Z] 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. [2025-06-20T01:08:16.277Z] The best model improves the baseline by 14.52%. [2025-06-20T01:08:17.108Z] Top recommended movies for user id 72: [2025-06-20T01:08:17.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:08:17.108Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:08:17.108Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:08:17.108Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:08:17.108Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:08:17.108Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (80664.432 ms) ====== [2025-06-20T01:08:17.108Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-20T01:08:17.945Z] GC before operation: completed in 638.504 ms, heap usage 247.637 MB -> 89.899 MB. [2025-06-20T01:08:29.579Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T01:08:41.764Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:08:52.173Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:09:02.475Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:09:07.205Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:09:14.470Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:09:21.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:09:26.001Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:09:27.722Z] 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. [2025-06-20T01:09:27.722Z] The best model improves the baseline by 14.52%. [2025-06-20T01:09:27.722Z] Top recommended movies for user id 72: [2025-06-20T01:09:27.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:09:27.722Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:09:27.722Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:09:27.722Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:09:27.722Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:09:27.722Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (70331.519 ms) ====== [2025-06-20T01:09:27.722Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-20T01:09:28.533Z] GC before operation: completed in 785.552 ms, heap usage 468.721 MB -> 90.439 MB. [2025-06-20T01:09:38.883Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T01:09:49.203Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:09:59.493Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:10:09.833Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:10:17.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:10:23.568Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:10:30.985Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:10:38.301Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:10:39.141Z] 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. [2025-06-20T01:10:39.141Z] The best model improves the baseline by 14.52%. [2025-06-20T01:10:39.981Z] Top recommended movies for user id 72: [2025-06-20T01:10:39.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:10:39.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:10:39.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:10:39.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:10:39.981Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:10:39.981Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (70887.131 ms) ====== [2025-06-20T01:10:39.981Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-20T01:10:39.981Z] GC before operation: completed in 657.670 ms, heap usage 99.863 MB -> 90.326 MB. [2025-06-20T01:10:50.321Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T01:11:00.769Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:11:11.213Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:11:21.559Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:11:27.423Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:11:34.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:11:41.793Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:11:47.698Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:11:49.413Z] 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. [2025-06-20T01:11:49.413Z] The best model improves the baseline by 14.52%. [2025-06-20T01:11:49.413Z] Top recommended movies for user id 72: [2025-06-20T01:11:49.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:11:49.413Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:11:49.413Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:11:49.413Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:11:49.413Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:11:49.413Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (69235.696 ms) ====== [2025-06-20T01:11:49.413Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-20T01:11:50.233Z] GC before operation: completed in 823.935 ms, heap usage 543.817 MB -> 92.051 MB. [2025-06-20T01:12:02.459Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T01:12:14.089Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:12:24.640Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:12:36.866Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:12:42.869Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:12:50.048Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:12:57.242Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:13:04.459Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:13:04.459Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-20T01:13:04.459Z] The best model improves the baseline by 14.52%. [2025-06-20T01:13:05.306Z] Top recommended movies for user id 72: [2025-06-20T01:13:05.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:13:05.306Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:13:05.306Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:13:05.306Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:13:05.306Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:13:05.306Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (75011.815 ms) ====== [2025-06-20T01:13:05.306Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-20T01:13:06.138Z] GC before operation: completed in 868.144 ms, heap usage 334.048 MB -> 86.839 MB. [2025-06-20T01:13:18.511Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T01:13:28.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:13:37.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:13:48.160Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:13:52.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:13:59.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:14:06.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:14:13.859Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:14:14.709Z] 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. [2025-06-20T01:14:14.709Z] The best model improves the baseline by 14.52%. [2025-06-20T01:14:15.524Z] Top recommended movies for user id 72: [2025-06-20T01:14:15.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:14:15.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:14:15.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:14:15.524Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:14:15.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:14:15.524Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (69164.691 ms) ====== [2025-06-20T01:14:15.524Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-20T01:14:16.383Z] GC before operation: completed in 670.356 ms, heap usage 139.486 MB -> 86.731 MB. [2025-06-20T01:14:28.785Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-20T01:14:39.194Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-20T01:14:49.603Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-20T01:14:58.367Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-20T01:15:04.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-20T01:15:10.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-20T01:15:17.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-20T01:15:22.164Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-20T01:15:23.012Z] 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. [2025-06-20T01:15:23.012Z] The best model improves the baseline by 14.52%. [2025-06-20T01:15:23.844Z] Top recommended movies for user id 72: [2025-06-20T01:15:23.844Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-20T01:15:23.844Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-20T01:15:23.844Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-20T01:15:23.844Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-20T01:15:23.844Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-20T01:15:23.844Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (67550.222 ms) ====== [2025-06-20T01:15:27.479Z] ----------------------------------- [2025-06-20T01:15:27.479Z] renaissance-movie-lens_0_PASSED [2025-06-20T01:15:27.479Z] ----------------------------------- [2025-06-20T01:15:27.479Z] [2025-06-20T01:15:27.479Z] TEST TEARDOWN: [2025-06-20T01:15:27.479Z] Nothing to be done for teardown. [2025-06-20T01:15:27.479Z] renaissance-movie-lens_0 Finish Time: Fri Jun 20 01:15:27 2025 Epoch Time (ms): 1750382127004