[2025-10-22T12:11:36.081Z] Running test renaissance-movie-lens_0 ... [2025-10-22T12:11:36.081Z] =============================================== [2025-10-22T12:11:36.081Z] renaissance-movie-lens_0 Start Time: Wed Oct 22 08:11:35 2025 Epoch Time (ms): 1761135095518 [2025-10-22T12:11:36.081Z] variation: NoOptions [2025-10-22T12:11:36.081Z] JVM_OPTIONS: [2025-10-22T12:11:36.081Z] { \ [2025-10-22T12:11:36.081Z] echo ""; echo "TEST SETUP:"; \ [2025-10-22T12:11:36.081Z] echo "Nothing to be done for setup."; \ [2025-10-22T12:11:36.081Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17611345957867/renaissance-movie-lens_0"; \ [2025-10-22T12:11:36.081Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17611345957867/renaissance-movie-lens_0"; \ [2025-10-22T12:11:36.081Z] echo ""; echo "TESTING:"; \ [2025-10-22T12:11:36.081Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17611345957867/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-22T12:11:36.081Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17611345957867/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-22T12:11:36.081Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-22T12:11:36.081Z] echo "Nothing to be done for teardown."; \ [2025-10-22T12:11:36.082Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17611345957867/TestTargetResult"; [2025-10-22T12:11:36.082Z] [2025-10-22T12:11:36.082Z] TEST SETUP: [2025-10-22T12:11:36.082Z] Nothing to be done for setup. [2025-10-22T12:11:36.082Z] [2025-10-22T12:11:36.082Z] TESTING: [2025-10-22T12:11:36.082Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-10-22T12:11:36.082Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17611345957867/renaissance-movie-lens_0/launcher-081135-4965462025330662814/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-10-22T12:11:36.082Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-10-22T12:11:36.082Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-10-22T12:11:37.842Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-10-22T12:11:40.267Z] 08:11:40.060 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-10-22T12:11:41.053Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-22T12:11:41.428Z] Training: 60056, validation: 20285, test: 19854 [2025-10-22T12:11:41.428Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-22T12:11:41.428Z] GC before operation: completed in 52.867 ms, heap usage 246.105 MB -> 75.715 MB. [2025-10-22T12:11:43.846Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:11:45.655Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:11:46.897Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:11:48.241Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:11:49.472Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:11:50.239Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:11:51.004Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:11:51.765Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:11:51.765Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:11:51.765Z] The best model improves the baseline by 14.52%. [2025-10-22T12:11:51.765Z] Top recommended movies for user id 72: [2025-10-22T12:11:51.765Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:11:51.765Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:11:51.765Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:11:51.765Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:11:51.765Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:11:51.765Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (10490.214 ms) ====== [2025-10-22T12:11:51.765Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-22T12:11:52.120Z] GC before operation: completed in 64.759 ms, heap usage 342.707 MB -> 88.600 MB. [2025-10-22T12:11:53.353Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:11:54.598Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:11:55.836Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:11:56.613Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:11:57.379Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:11:58.146Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:11:58.917Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:11:59.706Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:11:59.706Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:11:59.706Z] The best model improves the baseline by 14.52%. [2025-10-22T12:11:59.706Z] Top recommended movies for user id 72: [2025-10-22T12:11:59.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:11:59.706Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:11:59.706Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:11:59.706Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:11:59.706Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:11:59.706Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (7697.610 ms) ====== [2025-10-22T12:11:59.706Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-22T12:11:59.706Z] GC before operation: completed in 49.896 ms, heap usage 336.048 MB -> 88.323 MB. [2025-10-22T12:12:00.967Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:12:01.765Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:12:03.030Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:12:04.309Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:12:04.676Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:12:05.452Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:12:06.212Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:12:06.988Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:12:06.988Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:12:06.988Z] The best model improves the baseline by 14.52%. [2025-10-22T12:12:06.988Z] Top recommended movies for user id 72: [2025-10-22T12:12:06.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:12:06.988Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:12:06.988Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:12:06.988Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:12:06.988Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:12:06.988Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7234.836 ms) ====== [2025-10-22T12:12:06.988Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-22T12:12:06.988Z] GC before operation: completed in 50.060 ms, heap usage 333.194 MB -> 88.887 MB. [2025-10-22T12:12:08.229Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:12:08.993Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:12:10.230Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:12:10.993Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:12:11.755Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:12:12.522Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:12:13.283Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:12:14.045Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:12:14.045Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:12:14.045Z] The best model improves the baseline by 14.52%. [2025-10-22T12:12:14.045Z] Top recommended movies for user id 72: [2025-10-22T12:12:14.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:12:14.045Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:12:14.045Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:12:14.045Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:12:14.045Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:12:14.045Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (7027.808 ms) ====== [2025-10-22T12:12:14.045Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-22T12:12:14.045Z] GC before operation: completed in 47.028 ms, heap usage 311.844 MB -> 89.245 MB. [2025-10-22T12:12:15.305Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:12:16.077Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:12:17.366Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:12:18.604Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:12:19.369Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:12:19.736Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:12:20.508Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:12:21.276Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:12:21.276Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:12:21.276Z] The best model improves the baseline by 14.52%. [2025-10-22T12:12:21.276Z] Top recommended movies for user id 72: [2025-10-22T12:12:21.276Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:12:21.276Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:12:21.276Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:12:21.276Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:12:21.276Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:12:21.276Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (7245.908 ms) ====== [2025-10-22T12:12:21.276Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-22T12:12:21.276Z] GC before operation: completed in 51.286 ms, heap usage 193.727 MB -> 88.970 MB. [2025-10-22T12:12:22.536Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:12:23.777Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:12:24.547Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:12:25.778Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:12:26.545Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:12:27.319Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:12:27.685Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:12:28.546Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:12:28.546Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:12:28.546Z] The best model improves the baseline by 14.52%. [2025-10-22T12:12:28.546Z] Top recommended movies for user id 72: [2025-10-22T12:12:28.546Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:12:28.546Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:12:28.546Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:12:28.546Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:12:28.546Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:12:28.546Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (7203.195 ms) ====== [2025-10-22T12:12:28.546Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-22T12:12:28.546Z] GC before operation: completed in 59.560 ms, heap usage 164.606 MB -> 89.249 MB. [2025-10-22T12:12:29.806Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:12:31.051Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:12:31.823Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:12:33.063Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:12:33.835Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:12:34.196Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:12:34.974Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:12:35.332Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:12:35.688Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:12:35.688Z] The best model improves the baseline by 14.52%. [2025-10-22T12:12:35.688Z] Top recommended movies for user id 72: [2025-10-22T12:12:35.688Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:12:35.688Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:12:35.688Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:12:35.688Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:12:35.688Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:12:35.688Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7040.176 ms) ====== [2025-10-22T12:12:35.688Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-22T12:12:35.688Z] GC before operation: completed in 51.652 ms, heap usage 151.476 MB -> 89.164 MB. [2025-10-22T12:12:36.943Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:12:37.712Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:12:38.958Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:12:39.737Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:12:40.523Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:12:40.879Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:12:41.656Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:12:42.011Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:12:42.389Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:12:42.389Z] The best model improves the baseline by 14.52%. [2025-10-22T12:12:42.389Z] Top recommended movies for user id 72: [2025-10-22T12:12:42.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:12:42.389Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:12:42.389Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:12:42.389Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:12:42.389Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:12:42.389Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (6616.471 ms) ====== [2025-10-22T12:12:42.389Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-22T12:12:42.389Z] GC before operation: completed in 50.770 ms, heap usage 243.722 MB -> 91.392 MB. [2025-10-22T12:12:43.640Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:12:44.422Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:12:45.189Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:12:46.452Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:12:46.814Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:12:47.576Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:12:48.377Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:12:48.731Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:12:48.732Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:12:48.732Z] The best model improves the baseline by 14.52%. [2025-10-22T12:12:48.732Z] Top recommended movies for user id 72: [2025-10-22T12:12:48.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:12:48.732Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:12:48.732Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:12:48.732Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:12:48.732Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:12:48.732Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (6483.878 ms) ====== [2025-10-22T12:12:48.732Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-22T12:12:49.086Z] GC before operation: completed in 53.761 ms, heap usage 112.954 MB -> 89.269 MB. [2025-10-22T12:12:49.852Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:12:51.085Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:12:51.854Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:12:53.103Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:12:53.458Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:12:54.234Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:12:54.601Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:12:55.373Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:12:55.726Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:12:55.726Z] The best model improves the baseline by 14.52%. [2025-10-22T12:12:55.726Z] Top recommended movies for user id 72: [2025-10-22T12:12:55.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:12:55.726Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:12:55.726Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:12:55.726Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:12:55.727Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:12:55.727Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (6690.491 ms) ====== [2025-10-22T12:12:55.727Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-22T12:12:55.727Z] GC before operation: completed in 51.803 ms, heap usage 157.692 MB -> 89.624 MB. [2025-10-22T12:12:56.953Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:12:57.724Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:12:58.962Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:12:59.722Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:13:00.494Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:13:01.280Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:13:01.654Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:13:02.458Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:13:02.458Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:13:02.458Z] The best model improves the baseline by 14.52%. [2025-10-22T12:13:02.458Z] Top recommended movies for user id 72: [2025-10-22T12:13:02.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:13:02.458Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:13:02.458Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:13:02.458Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:13:02.458Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:13:02.458Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (6746.791 ms) ====== [2025-10-22T12:13:02.458Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-22T12:13:02.458Z] GC before operation: completed in 50.738 ms, heap usage 146.490 MB -> 92.339 MB. [2025-10-22T12:13:03.261Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:13:04.544Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:13:05.338Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:13:06.587Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:13:06.941Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:13:07.731Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:13:08.085Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:13:08.864Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:13:08.864Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:13:08.864Z] The best model improves the baseline by 14.52%. [2025-10-22T12:13:08.864Z] Top recommended movies for user id 72: [2025-10-22T12:13:08.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:13:08.864Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:13:08.864Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:13:08.864Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:13:08.864Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:13:08.864Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (6383.742 ms) ====== [2025-10-22T12:13:08.864Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-22T12:13:08.864Z] GC before operation: completed in 48.412 ms, heap usage 155.659 MB -> 90.765 MB. [2025-10-22T12:13:10.204Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:13:10.982Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:13:12.262Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:13:13.027Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:13:13.798Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:13:14.155Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:13:14.929Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:13:15.685Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:13:15.685Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:13:15.685Z] The best model improves the baseline by 14.52%. [2025-10-22T12:13:15.685Z] Top recommended movies for user id 72: [2025-10-22T12:13:15.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:13:15.685Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:13:15.685Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:13:15.685Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:13:15.685Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:13:15.685Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (6818.292 ms) ====== [2025-10-22T12:13:15.685Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-22T12:13:15.685Z] GC before operation: completed in 49.734 ms, heap usage 487.680 MB -> 93.259 MB. [2025-10-22T12:13:16.952Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:13:18.183Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:13:18.959Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:13:20.199Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:13:20.576Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:13:21.349Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:13:21.705Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:13:22.493Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:13:22.493Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:13:22.493Z] The best model improves the baseline by 14.52%. [2025-10-22T12:13:22.493Z] Top recommended movies for user id 72: [2025-10-22T12:13:22.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:13:22.493Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:13:22.493Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:13:22.493Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:13:22.493Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:13:22.493Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (6694.245 ms) ====== [2025-10-22T12:13:22.493Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-22T12:13:22.493Z] GC before operation: completed in 50.995 ms, heap usage 177.925 MB -> 89.543 MB. [2025-10-22T12:13:23.742Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:13:24.504Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:13:25.346Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:13:26.587Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:13:26.958Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:13:27.728Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:13:28.096Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:13:28.871Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:13:28.871Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:13:28.871Z] The best model improves the baseline by 14.52%. [2025-10-22T12:13:28.871Z] Top recommended movies for user id 72: [2025-10-22T12:13:28.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:13:28.871Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:13:28.871Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:13:28.871Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:13:28.871Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:13:28.871Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (6389.277 ms) ====== [2025-10-22T12:13:28.871Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-22T12:13:28.871Z] GC before operation: completed in 50.203 ms, heap usage 115.394 MB -> 89.585 MB. [2025-10-22T12:13:30.137Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:13:30.900Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:13:31.676Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:13:32.445Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:13:33.232Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:13:33.586Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:13:33.961Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:13:34.737Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:13:34.737Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:13:34.737Z] The best model improves the baseline by 14.52%. [2025-10-22T12:13:34.737Z] Top recommended movies for user id 72: [2025-10-22T12:13:34.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:13:34.737Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:13:34.737Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:13:34.737Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:13:34.737Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:13:34.737Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (5783.302 ms) ====== [2025-10-22T12:13:34.737Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-22T12:13:34.737Z] GC before operation: completed in 47.997 ms, heap usage 476.103 MB -> 90.156 MB. [2025-10-22T12:13:35.985Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:13:36.759Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:13:37.528Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:13:38.300Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:13:39.062Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:13:39.417Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:13:39.785Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:13:40.576Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:13:40.576Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:13:40.576Z] The best model improves the baseline by 14.52%. [2025-10-22T12:13:40.577Z] Top recommended movies for user id 72: [2025-10-22T12:13:40.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:13:40.577Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:13:40.577Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:13:40.577Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:13:40.577Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:13:40.577Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (5809.281 ms) ====== [2025-10-22T12:13:40.577Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-22T12:13:40.577Z] GC before operation: completed in 47.490 ms, heap usage 160.156 MB -> 89.667 MB. [2025-10-22T12:13:41.807Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:13:42.572Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:13:43.336Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:13:44.569Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:13:44.927Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:13:45.701Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:13:46.061Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:13:46.830Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:13:46.830Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:13:46.830Z] The best model improves the baseline by 14.52%. [2025-10-22T12:13:46.830Z] Top recommended movies for user id 72: [2025-10-22T12:13:46.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:13:46.830Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:13:46.830Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:13:46.830Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:13:46.830Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:13:46.830Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (6130.422 ms) ====== [2025-10-22T12:13:46.830Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-22T12:13:46.830Z] GC before operation: completed in 51.692 ms, heap usage 166.786 MB -> 89.516 MB. [2025-10-22T12:13:47.598Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:13:48.839Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:13:49.691Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:13:50.450Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:13:51.218Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:13:51.580Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:13:52.351Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:13:52.713Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:13:53.068Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:13:53.068Z] The best model improves the baseline by 14.52%. [2025-10-22T12:13:53.068Z] Top recommended movies for user id 72: [2025-10-22T12:13:53.068Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:13:53.068Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:13:53.068Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:13:53.068Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:13:53.068Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:13:53.068Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (6151.637 ms) ====== [2025-10-22T12:13:53.068Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-22T12:13:53.068Z] GC before operation: completed in 47.951 ms, heap usage 269.768 MB -> 89.891 MB. [2025-10-22T12:13:53.827Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-22T12:13:55.070Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-22T12:13:56.301Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-22T12:13:57.069Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-22T12:13:57.424Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-22T12:13:58.206Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-22T12:13:58.565Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-22T12:13:59.335Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-22T12:13:59.335Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-10-22T12:13:59.335Z] The best model improves the baseline by 14.52%. [2025-10-22T12:13:59.335Z] Top recommended movies for user id 72: [2025-10-22T12:13:59.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-10-22T12:13:59.335Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-10-22T12:13:59.335Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-10-22T12:13:59.335Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-10-22T12:13:59.335Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-10-22T12:13:59.335Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (6304.641 ms) ====== [2025-10-22T12:13:59.689Z] ----------------------------------- [2025-10-22T12:13:59.689Z] renaissance-movie-lens_0_PASSED [2025-10-22T12:13:59.689Z] ----------------------------------- [2025-10-22T12:13:59.689Z] [2025-10-22T12:13:59.689Z] TEST TEARDOWN: [2025-10-22T12:13:59.689Z] Nothing to be done for teardown. [2025-10-22T12:13:59.689Z] renaissance-movie-lens_0 Finish Time: Wed Oct 22 08:13:59 2025 Epoch Time (ms): 1761135239312