[2025-12-27T17:25:35.086Z] Running test renaissance-movie-lens_0 ... [2025-12-27T17:25:35.086Z] =============================================== [2025-12-27T17:25:35.086Z] renaissance-movie-lens_0 Start Time: Sat Dec 27 17:25:34 2025 Epoch Time (ms): 1766856334949 [2025-12-27T17:25:35.086Z] variation: NoOptions [2025-12-27T17:25:35.445Z] JVM_OPTIONS: [2025-12-27T17:25:35.445Z] { \ [2025-12-27T17:25:35.445Z] echo ""; echo "TEST SETUP:"; \ [2025-12-27T17:25:35.445Z] echo "Nothing to be done for setup."; \ [2025-12-27T17:25:35.445Z] mkdir -p "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17668546598743\\renaissance-movie-lens_0"; \ [2025-12-27T17:25:35.445Z] cd "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17668546598743\\renaissance-movie-lens_0"; \ [2025-12-27T17:25:35.445Z] echo ""; echo "TESTING:"; \ [2025-12-27T17:25:35.445Z] "c:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17668546598743\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-12-27T17:25:35.445Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17668546598743\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-27T17:25:35.445Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-27T17:25:35.445Z] echo "Nothing to be done for teardown."; \ [2025-12-27T17:25:35.445Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17668546598743\\TestTargetResult"; [2025-12-27T17:25:35.445Z] [2025-12-27T17:25:35.445Z] TEST SETUP: [2025-12-27T17:25:35.445Z] Nothing to be done for setup. [2025-12-27T17:25:35.445Z] [2025-12-27T17:25:35.445Z] TESTING: [2025-12-27T17:25:36.196Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-27T17:25:36.196Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_17668546598743/renaissance-movie-lens_0/launcher-172535-2868956689619839673/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-27T17:25:36.196Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-27T17:25:36.196Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-27T17:25:49.461Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-12-27T17:25:55.567Z] 17:25:54.730 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-12-27T17:25:56.903Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-27T17:25:57.329Z] Training: 60056, validation: 20285, test: 19854 [2025-12-27T17:25:57.329Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-27T17:25:57.329Z] GC before operation: completed in 128.789 ms, heap usage 279.223 MB -> 76.260 MB. [2025-12-27T17:26:10.892Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:26:19.947Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:26:28.992Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:26:38.028Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:26:42.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:26:47.772Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:26:53.797Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:26:58.663Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:26:58.663Z] 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. [2025-12-27T17:26:58.663Z] The best model improves the baseline by 14.52%. [2025-12-27T17:26:59.032Z] Top recommended movies for user id 72: [2025-12-27T17:26:59.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:26:59.032Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:26:59.032Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:26:59.032Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:26:59.032Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:26:59.032Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (61713.995 ms) ====== [2025-12-27T17:26:59.032Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-27T17:26:59.032Z] GC before operation: completed in 127.017 ms, heap usage 293.817 MB -> 87.130 MB. [2025-12-27T17:27:08.088Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:27:15.475Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:27:24.537Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:27:31.959Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:27:36.918Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:27:41.814Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:27:46.666Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:27:50.543Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:27:51.367Z] 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. [2025-12-27T17:27:51.367Z] The best model improves the baseline by 14.52%. [2025-12-27T17:27:51.367Z] Top recommended movies for user id 72: [2025-12-27T17:27:51.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:27:51.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:27:51.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:27:51.367Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:27:51.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:27:51.367Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (52300.928 ms) ====== [2025-12-27T17:27:51.367Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-27T17:27:51.726Z] GC before operation: completed in 125.740 ms, heap usage 268.076 MB -> 89.275 MB. [2025-12-27T17:27:59.107Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:28:08.192Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:28:15.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:28:24.664Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:28:27.737Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:28:32.577Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:28:37.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:28:41.351Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:28:42.157Z] 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. [2025-12-27T17:28:42.157Z] The best model improves the baseline by 14.52%. [2025-12-27T17:28:42.157Z] Top recommended movies for user id 72: [2025-12-27T17:28:42.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:28:42.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:28:42.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:28:42.157Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:28:42.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:28:42.157Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (50685.894 ms) ====== [2025-12-27T17:28:42.157Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-27T17:28:42.524Z] GC before operation: completed in 119.889 ms, heap usage 190.123 MB -> 89.848 MB. [2025-12-27T17:28:49.929Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:28:57.332Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:29:06.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:29:13.827Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:29:18.713Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:29:22.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:29:28.642Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:29:32.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:29:32.520Z] 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. [2025-12-27T17:29:32.520Z] The best model improves the baseline by 14.52%. [2025-12-27T17:29:32.898Z] Top recommended movies for user id 72: [2025-12-27T17:29:32.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:29:32.898Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:29:32.898Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:29:32.898Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:29:32.898Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:29:32.899Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (50508.600 ms) ====== [2025-12-27T17:29:32.899Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-27T17:29:32.899Z] GC before operation: completed in 123.057 ms, heap usage 281.060 MB -> 90.189 MB. [2025-12-27T17:29:40.286Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:29:49.313Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:29:58.318Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:30:04.380Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:30:09.236Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:30:13.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:30:17.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:30:21.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:30:22.751Z] 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. [2025-12-27T17:30:22.751Z] The best model improves the baseline by 14.52%. [2025-12-27T17:30:22.751Z] Top recommended movies for user id 72: [2025-12-27T17:30:22.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:30:22.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:30:22.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:30:22.751Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:30:22.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:30:22.751Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (49837.565 ms) ====== [2025-12-27T17:30:22.751Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-27T17:30:23.108Z] GC before operation: completed in 123.023 ms, heap usage 289.479 MB -> 90.169 MB. [2025-12-27T17:30:30.512Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:30:39.548Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:30:46.961Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:30:54.360Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:30:58.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:31:03.094Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:31:07.996Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:31:11.879Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:31:12.621Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-12-27T17:31:12.621Z] The best model improves the baseline by 14.52%. [2025-12-27T17:31:12.977Z] Top recommended movies for user id 72: [2025-12-27T17:31:12.977Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:31:12.977Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:31:12.978Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:31:12.978Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:31:12.978Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:31:12.978Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (49939.880 ms) ====== [2025-12-27T17:31:12.978Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-27T17:31:12.978Z] GC before operation: completed in 117.523 ms, heap usage 284.102 MB -> 90.484 MB. [2025-12-27T17:31:21.996Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:31:28.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:31:37.028Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:31:44.418Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:31:48.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:31:53.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:31:58.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:32:02.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:32:03.377Z] 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. [2025-12-27T17:32:03.377Z] The best model improves the baseline by 14.52%. [2025-12-27T17:32:03.377Z] Top recommended movies for user id 72: [2025-12-27T17:32:03.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:32:03.377Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:32:03.377Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:32:03.377Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:32:03.377Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:32:03.377Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (50446.661 ms) ====== [2025-12-27T17:32:03.377Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-27T17:32:03.735Z] GC before operation: completed in 124.280 ms, heap usage 260.145 MB -> 90.368 MB. [2025-12-27T17:32:11.126Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:32:18.497Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:32:27.512Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:32:34.891Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:32:38.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:32:43.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:32:48.499Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:32:52.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:32:52.726Z] 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. [2025-12-27T17:32:52.726Z] The best model improves the baseline by 14.52%. [2025-12-27T17:32:53.080Z] Top recommended movies for user id 72: [2025-12-27T17:32:53.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:32:53.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:32:53.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:32:53.080Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:32:53.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:32:53.080Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (49412.578 ms) ====== [2025-12-27T17:32:53.080Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-27T17:32:53.080Z] GC before operation: completed in 122.089 ms, heap usage 110.037 MB -> 92.224 MB. [2025-12-27T17:33:00.467Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:33:07.869Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:33:16.863Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:33:24.249Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:33:28.137Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:33:33.022Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:33:37.910Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:33:41.816Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:33:41.816Z] 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. [2025-12-27T17:33:41.816Z] The best model improves the baseline by 14.52%. [2025-12-27T17:33:42.181Z] Top recommended movies for user id 72: [2025-12-27T17:33:42.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:33:42.181Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:33:42.181Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:33:42.181Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:33:42.181Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:33:42.181Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (49050.313 ms) ====== [2025-12-27T17:33:42.181Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-27T17:33:42.181Z] GC before operation: completed in 119.440 ms, heap usage 283.357 MB -> 90.483 MB. [2025-12-27T17:33:51.210Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:33:57.251Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:34:06.342Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:34:13.757Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:34:17.650Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:34:22.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:34:27.368Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:34:31.215Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:34:31.580Z] 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. [2025-12-27T17:34:31.580Z] The best model improves the baseline by 14.52%. [2025-12-27T17:34:31.932Z] Top recommended movies for user id 72: [2025-12-27T17:34:31.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:34:31.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:34:31.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:34:31.932Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:34:31.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:34:31.932Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (49513.723 ms) ====== [2025-12-27T17:34:31.932Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-27T17:34:31.932Z] GC before operation: completed in 115.127 ms, heap usage 182.038 MB -> 90.535 MB. [2025-12-27T17:34:40.942Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:34:46.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:34:56.010Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:35:03.421Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:35:07.338Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:35:12.243Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:35:17.106Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:35:21.135Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:35:21.893Z] 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. [2025-12-27T17:35:21.893Z] The best model improves the baseline by 14.52%. [2025-12-27T17:35:22.259Z] Top recommended movies for user id 72: [2025-12-27T17:35:22.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:35:22.259Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:35:22.259Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:35:22.259Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:35:22.259Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:35:22.259Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (50202.378 ms) ====== [2025-12-27T17:35:22.259Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-27T17:35:22.259Z] GC before operation: completed in 117.177 ms, heap usage 209.752 MB -> 90.222 MB. [2025-12-27T17:35:29.702Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:35:37.118Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:35:46.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:35:53.634Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:35:57.521Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:36:02.369Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:36:07.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:36:12.107Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:36:12.107Z] 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. [2025-12-27T17:36:12.107Z] The best model improves the baseline by 14.52%. [2025-12-27T17:36:12.465Z] Top recommended movies for user id 72: [2025-12-27T17:36:12.465Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:36:12.465Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:36:12.465Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:36:12.465Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:36:12.465Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:36:12.465Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (50149.761 ms) ====== [2025-12-27T17:36:12.465Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-27T17:36:12.465Z] GC before operation: completed in 115.475 ms, heap usage 115.138 MB -> 90.410 MB. [2025-12-27T17:36:19.904Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:36:27.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:36:36.368Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:36:43.775Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:36:47.649Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:36:52.498Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:36:57.364Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:37:01.233Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:37:01.650Z] 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. [2025-12-27T17:37:01.650Z] The best model improves the baseline by 14.52%. [2025-12-27T17:37:01.650Z] Top recommended movies for user id 72: [2025-12-27T17:37:01.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:37:01.650Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:37:01.650Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:37:01.650Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:37:01.650Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:37:01.650Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (49203.365 ms) ====== [2025-12-27T17:37:01.650Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-27T17:37:02.013Z] GC before operation: completed in 123.414 ms, heap usage 712.558 MB -> 94.467 MB. [2025-12-27T17:37:09.410Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:37:18.455Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:37:25.866Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:37:33.265Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:37:38.174Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:37:42.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:37:46.970Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:37:50.836Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:37:51.191Z] 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. [2025-12-27T17:37:51.581Z] The best model improves the baseline by 14.52%. [2025-12-27T17:37:51.581Z] Top recommended movies for user id 72: [2025-12-27T17:37:51.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:37:51.581Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:37:51.581Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:37:51.581Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:37:51.581Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:37:51.581Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (49809.249 ms) ====== [2025-12-27T17:37:51.581Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-27T17:37:51.932Z] GC before operation: completed in 118.146 ms, heap usage 254.055 MB -> 90.546 MB. [2025-12-27T17:37:59.339Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:38:06.736Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:38:15.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:38:23.245Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:38:28.112Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:38:31.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:38:36.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:38:40.784Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:38:41.142Z] 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. [2025-12-27T17:38:41.142Z] The best model improves the baseline by 14.52%. [2025-12-27T17:38:41.521Z] Top recommended movies for user id 72: [2025-12-27T17:38:41.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:38:41.521Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:38:41.521Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:38:41.521Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:38:41.521Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:38:41.521Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (49822.059 ms) ====== [2025-12-27T17:38:41.521Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-27T17:38:41.893Z] GC before operation: completed in 119.383 ms, heap usage 280.555 MB -> 90.803 MB. [2025-12-27T17:38:49.298Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:38:58.333Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:39:05.750Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:39:13.127Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:39:16.998Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:39:21.861Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:39:26.735Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:39:30.633Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:39:31.004Z] 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. [2025-12-27T17:39:31.004Z] The best model improves the baseline by 14.52%. [2025-12-27T17:39:31.364Z] Top recommended movies for user id 72: [2025-12-27T17:39:31.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:39:31.364Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:39:31.364Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:39:31.364Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:39:31.364Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:39:31.364Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (49649.572 ms) ====== [2025-12-27T17:39:31.364Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-27T17:39:31.364Z] GC before operation: completed in 118.933 ms, heap usage 249.174 MB -> 90.586 MB. [2025-12-27T17:39:40.428Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:39:47.815Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:39:55.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:40:02.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:40:06.490Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:40:11.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:40:16.215Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:40:20.113Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:40:20.857Z] 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. [2025-12-27T17:40:20.857Z] The best model improves the baseline by 14.52%. [2025-12-27T17:40:21.225Z] Top recommended movies for user id 72: [2025-12-27T17:40:21.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:40:21.225Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:40:21.225Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:40:21.225Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:40:21.225Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:40:21.225Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49659.050 ms) ====== [2025-12-27T17:40:21.225Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-27T17:40:21.225Z] GC before operation: completed in 123.071 ms, heap usage 118.743 MB -> 90.527 MB. [2025-12-27T17:40:30.267Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:40:36.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:40:45.327Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:40:52.742Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:40:55.779Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:41:00.684Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:41:05.555Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:41:10.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:41:10.486Z] 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. [2025-12-27T17:41:10.486Z] The best model improves the baseline by 14.52%. [2025-12-27T17:41:10.486Z] Top recommended movies for user id 72: [2025-12-27T17:41:10.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:41:10.486Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:41:10.486Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:41:10.486Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:41:10.486Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:41:10.486Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (49289.363 ms) ====== [2025-12-27T17:41:10.486Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-27T17:41:10.848Z] GC before operation: completed in 135.323 ms, heap usage 302.810 MB -> 90.623 MB. [2025-12-27T17:41:18.254Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:41:25.663Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:41:34.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:41:42.096Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:41:45.959Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:41:49.864Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:41:54.739Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:41:59.688Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:41:59.688Z] 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. [2025-12-27T17:41:59.688Z] The best model improves the baseline by 14.52%. [2025-12-27T17:41:59.688Z] Top recommended movies for user id 72: [2025-12-27T17:41:59.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:41:59.688Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:41:59.688Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:41:59.688Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:41:59.688Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:41:59.688Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (49078.523 ms) ====== [2025-12-27T17:41:59.688Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-27T17:42:00.056Z] GC before operation: completed in 123.303 ms, heap usage 274.855 MB -> 90.685 MB. [2025-12-27T17:42:07.420Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-27T17:42:14.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-27T17:42:23.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-27T17:42:31.295Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-27T17:42:35.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-27T17:42:39.063Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-27T17:42:43.993Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-27T17:42:47.894Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-27T17:42:48.642Z] 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. [2025-12-27T17:42:48.642Z] The best model improves the baseline by 14.52%. [2025-12-27T17:42:48.642Z] Top recommended movies for user id 72: [2025-12-27T17:42:48.642Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-12-27T17:42:48.642Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-12-27T17:42:48.642Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-12-27T17:42:48.642Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-12-27T17:42:48.642Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-12-27T17:42:48.643Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (48875.067 ms) ====== [2025-12-27T17:42:49.391Z] ----------------------------------- [2025-12-27T17:42:49.391Z] renaissance-movie-lens_0_PASSED [2025-12-27T17:42:49.391Z] ----------------------------------- [2025-12-27T17:42:49.729Z] [2025-12-27T17:42:49.729Z] TEST TEARDOWN: [2025-12-27T17:42:49.729Z] Nothing to be done for teardown. [2025-12-27T17:42:49.729Z] renaissance-movie-lens_0 Finish Time: Sat Dec 27 17:42:49 2025 Epoch Time (ms): 1766857369658