[2025-09-05T16:37:01.839Z] Running test renaissance-movie-lens_0 ... [2025-09-05T16:37:01.839Z] =============================================== [2025-09-05T16:37:02.147Z] renaissance-movie-lens_0 Start Time: Fri Sep 5 16:37:01 2025 Epoch Time (ms): 1757090221985 [2025-09-05T16:37:02.147Z] variation: NoOptions [2025-09-05T16:37:02.488Z] JVM_OPTIONS: [2025-09-05T16:37:02.488Z] { \ [2025-09-05T16:37:02.488Z] echo ""; echo "TEST SETUP:"; \ [2025-09-05T16:37:02.488Z] echo "Nothing to be done for setup."; \ [2025-09-05T16:37:02.488Z] mkdir -p "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17570886073356\\renaissance-movie-lens_0"; \ [2025-09-05T16:37:02.488Z] cd "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17570886073356\\renaissance-movie-lens_0"; \ [2025-09-05T16:37:02.488Z] echo ""; echo "TESTING:"; \ [2025-09-05T16:37:02.488Z] "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_17570886073356\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-09-05T16:37:02.488Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17570886073356\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-09-05T16:37:02.488Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-09-05T16:37:02.488Z] echo "Nothing to be done for teardown."; \ [2025-09-05T16:37:02.488Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17570886073356\\TestTargetResult"; [2025-09-05T16:37:02.488Z] [2025-09-05T16:37:02.488Z] TEST SETUP: [2025-09-05T16:37:02.488Z] Nothing to be done for setup. [2025-09-05T16:37:02.488Z] [2025-09-05T16:37:02.488Z] TESTING: [2025-09-05T16:37:03.179Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-09-05T16:37:03.179Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_17570886073356/renaissance-movie-lens_0/launcher-163702-6169869580802347670/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-09-05T16:37:03.179Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-09-05T16:37:03.179Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-09-05T16:37:16.068Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-09-05T16:37:21.823Z] 16:37:20.997 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-09-05T16:37:23.660Z] Got 100004 ratings from 671 users on 9066 movies. [2025-09-05T16:37:24.005Z] Training: 60056, validation: 20285, test: 19854 [2025-09-05T16:37:24.005Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-09-05T16:37:24.005Z] GC before operation: completed in 127.834 ms, heap usage 297.003 MB -> 76.279 MB. [2025-09-05T16:37:37.091Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:37:45.763Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:37:54.450Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:38:01.531Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:38:06.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:38:10.894Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:38:15.520Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:38:20.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:38:20.506Z] 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. [2025-09-05T16:38:20.936Z] The best model improves the baseline by 14.52%. [2025-09-05T16:38:20.936Z] Top recommended movies for user id 72: [2025-09-05T16:38:20.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:38:20.936Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:38:20.936Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:38:20.936Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:38:20.936Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:38:20.936Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (56839.686 ms) ====== [2025-09-05T16:38:20.936Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-09-05T16:38:21.280Z] GC before operation: completed in 139.177 ms, heap usage 120.475 MB -> 86.743 MB. [2025-09-05T16:38:28.359Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:38:35.525Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:38:44.220Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:38:49.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:38:54.599Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:38:58.262Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:39:02.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:39:06.557Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:39:07.247Z] 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. [2025-09-05T16:39:07.247Z] The best model improves the baseline by 14.52%. [2025-09-05T16:39:07.598Z] Top recommended movies for user id 72: [2025-09-05T16:39:07.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:39:07.598Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:39:07.598Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:39:07.598Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:39:07.598Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:39:07.598Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (46373.604 ms) ====== [2025-09-05T16:39:07.598Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-09-05T16:39:07.598Z] GC before operation: completed in 128.575 ms, heap usage 119.970 MB -> 88.840 MB. [2025-09-05T16:39:14.716Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:39:21.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:39:30.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:39:37.619Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:39:40.483Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:39:45.088Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:39:49.752Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:39:53.412Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:39:53.860Z] 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. [2025-09-05T16:39:53.860Z] The best model improves the baseline by 14.52%. [2025-09-05T16:39:53.860Z] Top recommended movies for user id 72: [2025-09-05T16:39:53.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:39:53.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:39:53.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:39:53.860Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:39:53.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:39:53.860Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (46297.084 ms) ====== [2025-09-05T16:39:53.860Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-09-05T16:39:54.186Z] GC before operation: completed in 125.574 ms, heap usage 219.611 MB -> 89.574 MB. [2025-09-05T16:40:01.343Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:40:08.436Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:40:15.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:40:22.623Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:40:26.308Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:40:30.937Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:40:35.627Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:40:39.295Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:40:39.295Z] 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. [2025-09-05T16:40:39.295Z] The best model improves the baseline by 14.52%. [2025-09-05T16:40:39.636Z] Top recommended movies for user id 72: [2025-09-05T16:40:39.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:40:39.636Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:40:39.636Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:40:39.636Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:40:39.636Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:40:39.636Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (45580.021 ms) ====== [2025-09-05T16:40:39.636Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-09-05T16:40:39.636Z] GC before operation: completed in 124.272 ms, heap usage 430.349 MB -> 90.133 MB. [2025-09-05T16:40:46.768Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:40:53.870Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:41:02.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:41:09.632Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:41:12.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:41:17.164Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:41:20.910Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:41:24.861Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:41:25.606Z] 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. [2025-09-05T16:41:25.606Z] The best model improves the baseline by 14.52%. [2025-09-05T16:41:25.606Z] Top recommended movies for user id 72: [2025-09-05T16:41:25.606Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:41:25.606Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:41:25.606Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:41:25.606Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:41:25.606Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:41:25.606Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (45914.328 ms) ====== [2025-09-05T16:41:25.606Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-09-05T16:41:25.943Z] GC before operation: completed in 122.052 ms, heap usage 182.261 MB -> 89.841 MB. [2025-09-05T16:41:33.155Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:41:40.243Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:41:47.330Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:41:54.462Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:41:58.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:42:01.889Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:42:06.524Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:42:10.187Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:42:10.518Z] 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. [2025-09-05T16:42:10.518Z] The best model improves the baseline by 14.52%. [2025-09-05T16:42:10.869Z] Top recommended movies for user id 72: [2025-09-05T16:42:10.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:42:10.869Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:42:10.869Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:42:10.869Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:42:10.869Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:42:10.869Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (44956.941 ms) ====== [2025-09-05T16:42:10.869Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-09-05T16:42:10.869Z] GC before operation: completed in 126.816 ms, heap usage 514.482 MB -> 92.354 MB. [2025-09-05T16:42:17.986Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:42:25.113Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:42:32.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:42:39.330Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:42:42.217Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:42:45.870Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:42:50.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:42:54.180Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:42:54.180Z] 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. [2025-09-05T16:42:54.180Z] The best model improves the baseline by 14.52%. [2025-09-05T16:42:54.526Z] Top recommended movies for user id 72: [2025-09-05T16:42:54.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:42:54.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:42:54.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:42:54.526Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:42:54.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:42:54.526Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (43662.564 ms) ====== [2025-09-05T16:42:54.526Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-09-05T16:42:54.526Z] GC before operation: completed in 125.832 ms, heap usage 246.104 MB -> 90.138 MB. [2025-09-05T16:43:01.576Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:43:08.664Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:43:15.765Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:43:22.863Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:43:25.743Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:43:29.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:43:34.015Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:43:37.674Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:43:37.674Z] 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. [2025-09-05T16:43:37.674Z] The best model improves the baseline by 14.52%. [2025-09-05T16:43:38.029Z] Top recommended movies for user id 72: [2025-09-05T16:43:38.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:43:38.029Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:43:38.029Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:43:38.029Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:43:38.029Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:43:38.029Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (43408.145 ms) ====== [2025-09-05T16:43:38.029Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-09-05T16:43:38.409Z] GC before operation: completed in 118.122 ms, heap usage 204.352 MB -> 90.430 MB. [2025-09-05T16:43:45.461Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:43:52.555Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:43:59.658Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:44:06.771Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:44:10.479Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:44:14.172Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:44:18.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:44:22.441Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:44:22.886Z] 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. [2025-09-05T16:44:22.886Z] The best model improves the baseline by 14.52%. [2025-09-05T16:44:23.251Z] Top recommended movies for user id 72: [2025-09-05T16:44:23.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:44:23.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:44:23.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:44:23.251Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:44:23.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:44:23.251Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (44758.917 ms) ====== [2025-09-05T16:44:23.251Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-09-05T16:44:23.251Z] GC before operation: completed in 120.279 ms, heap usage 204.466 MB -> 90.249 MB. [2025-09-05T16:44:30.365Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:44:37.505Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:44:44.591Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:44:51.695Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:44:55.400Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:44:59.134Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:45:03.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:45:07.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:45:07.817Z] 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. [2025-09-05T16:45:07.817Z] The best model improves the baseline by 14.52%. [2025-09-05T16:45:08.150Z] Top recommended movies for user id 72: [2025-09-05T16:45:08.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:45:08.150Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:45:08.150Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:45:08.150Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:45:08.150Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:45:08.150Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (45011.750 ms) ====== [2025-09-05T16:45:08.150Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-09-05T16:45:08.150Z] GC before operation: completed in 120.106 ms, heap usage 118.113 MB -> 90.410 MB. [2025-09-05T16:45:15.262Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:45:22.377Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:45:29.588Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:45:36.658Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:45:40.365Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:45:44.047Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:45:48.727Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:45:52.425Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:45:52.771Z] 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. [2025-09-05T16:45:52.771Z] The best model improves the baseline by 14.52%. [2025-09-05T16:45:53.137Z] Top recommended movies for user id 72: [2025-09-05T16:45:53.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:45:53.137Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:45:53.137Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:45:53.137Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:45:53.137Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:45:53.137Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (44787.163 ms) ====== [2025-09-05T16:45:53.137Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-09-05T16:45:53.137Z] GC before operation: completed in 122.218 ms, heap usage 279.266 MB -> 90.204 MB. [2025-09-05T16:46:00.249Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:46:07.362Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:46:14.469Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:46:21.556Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:46:25.230Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:46:28.935Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:46:33.577Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:46:37.271Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:46:37.607Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-09-05T16:46:37.995Z] The best model improves the baseline by 14.52%. [2025-09-05T16:46:37.995Z] Top recommended movies for user id 72: [2025-09-05T16:46:37.995Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:46:37.995Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:46:37.995Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:46:37.995Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:46:37.995Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:46:37.995Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (44921.817 ms) ====== [2025-09-05T16:46:37.995Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-09-05T16:46:38.358Z] GC before operation: completed in 132.365 ms, heap usage 219.123 MB -> 90.342 MB. [2025-09-05T16:46:45.419Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:46:52.553Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:46:59.738Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:47:06.839Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:47:10.530Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:47:14.204Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:47:18.867Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:47:22.592Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:47:22.592Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-09-05T16:47:22.592Z] The best model improves the baseline by 14.52%. [2025-09-05T16:47:22.932Z] Top recommended movies for user id 72: [2025-09-05T16:47:22.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:47:22.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:47:22.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:47:22.932Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:47:22.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:47:22.932Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (44667.854 ms) ====== [2025-09-05T16:47:22.932Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-09-05T16:47:22.932Z] GC before operation: completed in 147.380 ms, heap usage 194.705 MB -> 90.491 MB. [2025-09-05T16:47:30.077Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:47:37.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:47:44.268Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:47:51.420Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:47:55.087Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:47:58.766Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:48:03.369Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:48:07.030Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:48:07.359Z] 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. [2025-09-05T16:48:07.359Z] The best model improves the baseline by 14.52%. [2025-09-05T16:48:07.702Z] Top recommended movies for user id 72: [2025-09-05T16:48:07.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:48:07.702Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:48:07.702Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:48:07.702Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:48:07.702Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:48:07.702Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (44594.938 ms) ====== [2025-09-05T16:48:07.702Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-09-05T16:48:07.702Z] GC before operation: completed in 118.981 ms, heap usage 362.082 MB -> 92.395 MB. [2025-09-05T16:48:14.810Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:48:21.891Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:48:28.959Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:48:34.701Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:48:38.359Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:48:42.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:48:46.702Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:48:50.429Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:48:51.210Z] 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. [2025-09-05T16:48:51.210Z] The best model improves the baseline by 14.52%. [2025-09-05T16:48:51.210Z] Top recommended movies for user id 72: [2025-09-05T16:48:51.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:48:51.210Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:48:51.210Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:48:51.210Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:48:51.210Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:48:51.210Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (43554.521 ms) ====== [2025-09-05T16:48:51.210Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-09-05T16:48:51.574Z] GC before operation: completed in 127.423 ms, heap usage 262.835 MB -> 90.648 MB. [2025-09-05T16:48:58.656Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:49:05.719Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:49:12.824Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:49:19.910Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:49:23.581Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:49:27.214Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:49:31.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:49:35.510Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:49:35.855Z] 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. [2025-09-05T16:49:35.855Z] The best model improves the baseline by 14.52%. [2025-09-05T16:49:36.211Z] Top recommended movies for user id 72: [2025-09-05T16:49:36.211Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:49:36.211Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:49:36.211Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:49:36.211Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:49:36.211Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:49:36.211Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (44654.818 ms) ====== [2025-09-05T16:49:36.211Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-09-05T16:49:36.211Z] GC before operation: completed in 116.097 ms, heap usage 187.867 MB -> 90.395 MB. [2025-09-05T16:49:43.340Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:49:50.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:49:57.612Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:50:04.678Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:50:08.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:50:13.000Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:50:16.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:50:21.313Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:50:21.313Z] 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. [2025-09-05T16:50:21.313Z] The best model improves the baseline by 14.52%. [2025-09-05T16:50:21.649Z] Top recommended movies for user id 72: [2025-09-05T16:50:21.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:50:21.649Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:50:21.649Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:50:21.649Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:50:21.649Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:50:21.649Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (45406.791 ms) ====== [2025-09-05T16:50:21.649Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-09-05T16:50:21.649Z] GC before operation: completed in 118.793 ms, heap usage 273.628 MB -> 90.561 MB. [2025-09-05T16:50:28.829Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:50:35.899Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:50:44.648Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:50:50.405Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:50:54.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:50:58.709Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:51:02.409Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:51:07.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:51:07.002Z] 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. [2025-09-05T16:51:07.002Z] The best model improves the baseline by 14.52%. [2025-09-05T16:51:07.388Z] Top recommended movies for user id 72: [2025-09-05T16:51:07.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:51:07.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:51:07.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:51:07.388Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:51:07.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:51:07.388Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (45494.708 ms) ====== [2025-09-05T16:51:07.388Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-09-05T16:51:07.388Z] GC before operation: completed in 118.392 ms, heap usage 194.852 MB -> 90.304 MB. [2025-09-05T16:51:14.491Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:51:21.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:51:28.708Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:51:35.804Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:51:39.465Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:51:43.134Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:51:47.764Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:51:51.431Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:51:52.233Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-09-05T16:51:52.233Z] The best model improves the baseline by 14.52%. [2025-09-05T16:51:52.582Z] Top recommended movies for user id 72: [2025-09-05T16:51:52.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:51:52.582Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:51:52.582Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:51:52.582Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:51:52.582Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:51:52.582Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (44977.824 ms) ====== [2025-09-05T16:51:52.582Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-09-05T16:51:52.582Z] GC before operation: completed in 145.440 ms, heap usage 365.617 MB -> 90.639 MB. [2025-09-05T16:51:59.666Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-09-05T16:52:06.804Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-09-05T16:52:15.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-09-05T16:52:21.272Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-09-05T16:52:25.896Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-09-05T16:52:29.565Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-09-05T16:52:34.149Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-09-05T16:52:37.858Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-09-05T16:52:38.202Z] 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. [2025-09-05T16:52:38.202Z] The best model improves the baseline by 14.52%. [2025-09-05T16:52:38.537Z] Top recommended movies for user id 72: [2025-09-05T16:52:38.537Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-09-05T16:52:38.537Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-09-05T16:52:38.537Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-09-05T16:52:38.537Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-09-05T16:52:38.537Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-09-05T16:52:38.537Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (46113.229 ms) ====== [2025-09-05T16:52:38.869Z] ----------------------------------- [2025-09-05T16:52:38.869Z] renaissance-movie-lens_0_PASSED [2025-09-05T16:52:38.869Z] ----------------------------------- [2025-09-05T16:52:39.560Z] [2025-09-05T16:52:39.560Z] TEST TEARDOWN: [2025-09-05T16:52:39.560Z] Nothing to be done for teardown. [2025-09-05T16:52:39.560Z] renaissance-movie-lens_0 Finish Time: Fri Sep 5 16:52:39 2025 Epoch Time (ms): 1757091159406