[2025-07-30T20:54:58.229Z] Running test renaissance-movie-lens_0 ... [2025-07-30T20:54:58.229Z] =============================================== [2025-07-30T20:54:58.229Z] renaissance-movie-lens_0 Start Time: Wed Jul 30 20:54:57 2025 Epoch Time (ms): 1753908897705 [2025-07-30T20:54:58.229Z] variation: NoOptions [2025-07-30T20:54:58.229Z] JVM_OPTIONS: [2025-07-30T20:54:58.229Z] { \ [2025-07-30T20:54:58.229Z] echo ""; echo "TEST SETUP:"; \ [2025-07-30T20:54:58.229Z] echo "Nothing to be done for setup."; \ [2025-07-30T20:54:58.229Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17539074805481/renaissance-movie-lens_0"; \ [2025-07-30T20:54:58.229Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17539074805481/renaissance-movie-lens_0"; \ [2025-07-30T20:54:58.229Z] echo ""; echo "TESTING:"; \ [2025-07-30T20:54:58.229Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17539074805481/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-30T20:54:58.229Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17539074805481/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-30T20:54:58.229Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-30T20:54:58.229Z] echo "Nothing to be done for teardown."; \ [2025-07-30T20:54:58.229Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17539074805481/TestTargetResult"; [2025-07-30T20:54:58.229Z] [2025-07-30T20:54:58.229Z] TEST SETUP: [2025-07-30T20:54:58.229Z] Nothing to be done for setup. [2025-07-30T20:54:58.229Z] [2025-07-30T20:54:58.229Z] TESTING: [2025-07-30T20:55:03.233Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-30T20:55:11.429Z] 20:55:09.879 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-07-30T20:55:12.392Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-30T20:55:13.348Z] Training: 60056, validation: 20285, test: 19854 [2025-07-30T20:55:13.348Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-30T20:55:13.348Z] GC before operation: completed in 152.179 ms, heap usage 332.682 MB -> 75.854 MB. [2025-07-30T20:55:18.871Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:55:23.045Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:55:26.074Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:55:29.156Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:55:31.114Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:55:33.072Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:55:34.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:55:35.988Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:55:35.988Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-30T20:55:36.945Z] The best model improves the baseline by 14.52%. [2025-07-30T20:55:36.945Z] Top recommended movies for user id 72: [2025-07-30T20:55:36.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:55:36.945Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:55:36.945Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:55:36.945Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:55:36.945Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:55:36.945Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23669.924 ms) ====== [2025-07-30T20:55:36.945Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-30T20:55:36.945Z] GC before operation: completed in 189.328 ms, heap usage 239.663 MB -> 88.948 MB. [2025-07-30T20:55:39.975Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:55:43.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:55:46.030Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:55:48.141Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:55:50.102Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:55:51.233Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:55:53.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:55:54.373Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:55:55.330Z] 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. [2025-07-30T20:55:55.330Z] The best model improves the baseline by 14.52%. [2025-07-30T20:55:55.330Z] Top recommended movies for user id 72: [2025-07-30T20:55:55.330Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:55:55.330Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:55:55.330Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:55:55.330Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:55:55.330Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:55:55.330Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18274.817 ms) ====== [2025-07-30T20:55:55.330Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-30T20:55:55.330Z] GC before operation: completed in 142.049 ms, heap usage 270.078 MB -> 88.865 MB. [2025-07-30T20:55:58.473Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:56:00.436Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:56:03.462Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:56:05.430Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:56:06.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:56:08.345Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:56:10.305Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:56:11.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:56:11.262Z] 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. [2025-07-30T20:56:11.262Z] The best model improves the baseline by 14.52%. [2025-07-30T20:56:12.216Z] Top recommended movies for user id 72: [2025-07-30T20:56:12.216Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:56:12.217Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:56:12.217Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:56:12.217Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:56:12.217Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:56:12.217Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16420.456 ms) ====== [2025-07-30T20:56:12.217Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-30T20:56:12.217Z] GC before operation: completed in 177.532 ms, heap usage 230.389 MB -> 89.363 MB. [2025-07-30T20:56:14.175Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:56:17.203Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:56:19.228Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:56:21.187Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:56:23.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:56:24.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:56:26.241Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:56:27.204Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:56:28.169Z] 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. [2025-07-30T20:56:28.169Z] The best model improves the baseline by 14.52%. [2025-07-30T20:56:28.169Z] Top recommended movies for user id 72: [2025-07-30T20:56:28.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:56:28.169Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:56:28.169Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:56:28.169Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:56:28.169Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:56:28.169Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15939.428 ms) ====== [2025-07-30T20:56:28.169Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-30T20:56:28.169Z] GC before operation: completed in 150.956 ms, heap usage 733.704 MB -> 93.599 MB. [2025-07-30T20:56:30.131Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:56:33.155Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:56:35.117Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:56:38.145Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:56:40.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:56:41.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:56:43.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:56:44.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:56:44.985Z] 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. [2025-07-30T20:56:44.985Z] The best model improves the baseline by 14.52%. [2025-07-30T20:56:44.985Z] Top recommended movies for user id 72: [2025-07-30T20:56:44.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:56:44.985Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:56:44.985Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:56:44.985Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:56:44.985Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:56:44.985Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16854.829 ms) ====== [2025-07-30T20:56:44.985Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-30T20:56:44.985Z] GC before operation: completed in 154.384 ms, heap usage 361.355 MB -> 89.829 MB. [2025-07-30T20:56:48.135Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:56:50.199Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:56:52.158Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:56:55.192Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:56:56.147Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:56:58.109Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:57:00.068Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:57:01.024Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:57:01.024Z] 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. [2025-07-30T20:57:01.024Z] The best model improves the baseline by 14.52%. [2025-07-30T20:57:01.979Z] Top recommended movies for user id 72: [2025-07-30T20:57:01.979Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:57:01.979Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:57:01.979Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:57:01.979Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:57:01.979Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:57:01.979Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16431.387 ms) ====== [2025-07-30T20:57:01.979Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-30T20:57:01.979Z] GC before operation: completed in 147.319 ms, heap usage 460.715 MB -> 90.360 MB. [2025-07-30T20:57:03.940Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:57:05.897Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:57:08.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:57:10.880Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:57:11.835Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:57:13.798Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:57:14.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:57:16.786Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:57:16.786Z] 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. [2025-07-30T20:57:16.786Z] The best model improves the baseline by 14.52%. [2025-07-30T20:57:16.786Z] Top recommended movies for user id 72: [2025-07-30T20:57:16.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:57:16.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:57:16.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:57:16.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:57:16.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:57:16.786Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15012.700 ms) ====== [2025-07-30T20:57:16.786Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-30T20:57:16.786Z] GC before operation: completed in 146.594 ms, heap usage 287.437 MB -> 90.089 MB. [2025-07-30T20:57:18.777Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:57:21.805Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:57:23.767Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:57:26.792Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:57:27.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:57:28.704Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:57:30.763Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:57:31.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:57:32.674Z] 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. [2025-07-30T20:57:32.674Z] The best model improves the baseline by 14.52%. [2025-07-30T20:57:32.674Z] Top recommended movies for user id 72: [2025-07-30T20:57:32.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:57:32.674Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:57:32.674Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:57:32.674Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:57:32.674Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:57:32.674Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15751.790 ms) ====== [2025-07-30T20:57:32.674Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-30T20:57:32.674Z] GC before operation: completed in 127.625 ms, heap usage 95.049 MB -> 90.382 MB. [2025-07-30T20:57:34.632Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:57:38.704Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:57:39.663Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:57:41.624Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:57:43.593Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:57:44.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:57:46.509Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:57:48.471Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:57:48.471Z] 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. [2025-07-30T20:57:48.471Z] The best model improves the baseline by 14.52%. [2025-07-30T20:57:48.471Z] Top recommended movies for user id 72: [2025-07-30T20:57:48.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:57:48.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:57:48.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:57:48.471Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:57:48.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:57:48.471Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15692.810 ms) ====== [2025-07-30T20:57:48.471Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-30T20:57:48.471Z] GC before operation: completed in 176.449 ms, heap usage 451.953 MB -> 90.429 MB. [2025-07-30T20:57:50.433Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:57:53.462Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:57:55.422Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:57:57.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:57:58.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:58:00.308Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:58:01.264Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:58:03.246Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:58:03.246Z] 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. [2025-07-30T20:58:03.246Z] The best model improves the baseline by 14.52%. [2025-07-30T20:58:03.246Z] Top recommended movies for user id 72: [2025-07-30T20:58:03.246Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:58:03.246Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:58:03.246Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:58:03.246Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:58:03.246Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:58:03.246Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14728.784 ms) ====== [2025-07-30T20:58:03.246Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-30T20:58:03.246Z] GC before operation: completed in 136.245 ms, heap usage 276.539 MB -> 90.283 MB. [2025-07-30T20:58:05.210Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:58:08.283Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:58:10.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:58:12.211Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:58:13.166Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:58:15.133Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:58:16.090Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:58:18.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:58:18.055Z] 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. [2025-07-30T20:58:18.055Z] The best model improves the baseline by 14.52%. [2025-07-30T20:58:18.055Z] Top recommended movies for user id 72: [2025-07-30T20:58:18.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:58:18.055Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:58:18.055Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:58:18.055Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:58:18.055Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:58:18.055Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14612.714 ms) ====== [2025-07-30T20:58:18.055Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-30T20:58:18.056Z] GC before operation: completed in 147.210 ms, heap usage 480.579 MB -> 90.354 MB. [2025-07-30T20:58:20.074Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:58:23.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:58:25.070Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:58:27.038Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:58:28.999Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:58:29.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:58:33.145Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:58:34.098Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:58:34.098Z] 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. [2025-07-30T20:58:34.098Z] The best model improves the baseline by 14.52%. [2025-07-30T20:58:34.098Z] Top recommended movies for user id 72: [2025-07-30T20:58:34.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:58:34.099Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:58:34.099Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:58:34.099Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:58:34.099Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:58:34.099Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15828.439 ms) ====== [2025-07-30T20:58:34.099Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-30T20:58:34.099Z] GC before operation: completed in 150.719 ms, heap usage 381.771 MB -> 90.390 MB. [2025-07-30T20:58:37.138Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:58:39.124Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:58:41.085Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:58:44.137Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:58:45.094Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:58:47.082Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:58:48.037Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:58:49.997Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:58:49.997Z] 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. [2025-07-30T20:58:49.997Z] The best model improves the baseline by 14.52%. [2025-07-30T20:58:51.052Z] Top recommended movies for user id 72: [2025-07-30T20:58:51.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:58:51.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:58:51.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:58:51.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:58:51.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:58:51.052Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16277.029 ms) ====== [2025-07-30T20:58:51.052Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-30T20:58:51.052Z] GC before operation: completed in 140.226 ms, heap usage 462.011 MB -> 90.673 MB. [2025-07-30T20:58:53.009Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:58:54.970Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:58:57.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:58:59.974Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:59:00.935Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:59:02.913Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:59:03.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:59:05.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:59:05.843Z] 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. [2025-07-30T20:59:05.843Z] The best model improves the baseline by 14.52%. [2025-07-30T20:59:06.799Z] Top recommended movies for user id 72: [2025-07-30T20:59:06.799Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:59:06.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:59:06.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:59:06.800Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:59:06.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:59:06.800Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15745.158 ms) ====== [2025-07-30T20:59:06.800Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-30T20:59:06.800Z] GC before operation: completed in 170.023 ms, heap usage 149.591 MB -> 89.980 MB. [2025-07-30T20:59:08.765Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:59:10.746Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:59:13.770Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:59:15.732Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:59:17.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:59:18.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:59:20.613Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:59:21.568Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:59:22.526Z] 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. [2025-07-30T20:59:22.526Z] The best model improves the baseline by 14.52%. [2025-07-30T20:59:22.526Z] Top recommended movies for user id 72: [2025-07-30T20:59:22.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:59:22.526Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:59:22.526Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:59:22.526Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:59:22.526Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:59:22.526Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15966.957 ms) ====== [2025-07-30T20:59:22.526Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-30T20:59:22.526Z] GC before operation: completed in 156.652 ms, heap usage 199.916 MB -> 90.335 MB. [2025-07-30T20:59:25.702Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:59:27.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:59:29.621Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:59:31.603Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:59:32.562Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:59:34.524Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:59:35.479Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:59:36.434Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:59:37.388Z] 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. [2025-07-30T20:59:37.388Z] The best model improves the baseline by 14.52%. [2025-07-30T20:59:37.388Z] Top recommended movies for user id 72: [2025-07-30T20:59:37.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:59:37.388Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:59:37.388Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:59:37.388Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:59:37.388Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:59:37.388Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14713.622 ms) ====== [2025-07-30T20:59:37.388Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-30T20:59:37.388Z] GC before operation: completed in 155.229 ms, heap usage 294.535 MB -> 90.369 MB. [2025-07-30T20:59:40.439Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:59:42.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T20:59:44.374Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T20:59:46.337Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T20:59:48.301Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T20:59:49.275Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T20:59:51.262Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T20:59:52.225Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T20:59:53.180Z] 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. [2025-07-30T20:59:53.180Z] The best model improves the baseline by 14.52%. [2025-07-30T20:59:53.180Z] Top recommended movies for user id 72: [2025-07-30T20:59:53.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T20:59:53.180Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T20:59:53.180Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T20:59:53.180Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T20:59:53.180Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T20:59:53.180Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15535.860 ms) ====== [2025-07-30T20:59:53.180Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-30T20:59:53.180Z] GC before operation: completed in 171.668 ms, heap usage 267.950 MB -> 90.360 MB. [2025-07-30T20:59:56.210Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T20:59:58.240Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T21:00:00.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T21:00:02.186Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T21:00:04.414Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T21:00:05.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T21:00:07.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T21:00:08.279Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T21:00:08.279Z] 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. [2025-07-30T21:00:08.279Z] The best model improves the baseline by 14.52%. [2025-07-30T21:00:08.279Z] Top recommended movies for user id 72: [2025-07-30T21:00:08.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T21:00:08.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T21:00:08.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T21:00:08.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T21:00:08.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T21:00:08.279Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15452.508 ms) ====== [2025-07-30T21:00:08.279Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-30T21:00:09.235Z] GC before operation: completed in 134.994 ms, heap usage 586.655 MB -> 93.881 MB. [2025-07-30T21:00:11.193Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T21:00:13.154Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T21:00:16.384Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T21:00:17.399Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T21:00:19.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T21:00:20.428Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T21:00:21.383Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T21:00:23.344Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T21:00:23.344Z] 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. [2025-07-30T21:00:23.344Z] The best model improves the baseline by 14.52%. [2025-07-30T21:00:23.344Z] Top recommended movies for user id 72: [2025-07-30T21:00:23.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T21:00:23.344Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T21:00:23.344Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T21:00:23.344Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T21:00:23.344Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T21:00:23.344Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14770.060 ms) ====== [2025-07-30T21:00:23.344Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-30T21:00:23.344Z] GC before operation: completed in 135.057 ms, heap usage 176.997 MB -> 90.239 MB. [2025-07-30T21:00:26.391Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-30T21:00:28.350Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-30T21:00:30.329Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-30T21:00:32.289Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-30T21:00:34.262Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-30T21:00:35.267Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-30T21:00:36.219Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-30T21:00:38.189Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-30T21:00:38.189Z] 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. [2025-07-30T21:00:38.189Z] The best model improves the baseline by 14.52%. [2025-07-30T21:00:38.189Z] Top recommended movies for user id 72: [2025-07-30T21:00:38.189Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-30T21:00:38.189Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-30T21:00:38.190Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-30T21:00:38.190Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-30T21:00:38.190Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-30T21:00:38.190Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14550.918 ms) ====== [2025-07-30T21:00:39.146Z] ----------------------------------- [2025-07-30T21:00:39.146Z] renaissance-movie-lens_0_PASSED [2025-07-30T21:00:39.146Z] ----------------------------------- [2025-07-30T21:00:39.146Z] [2025-07-30T21:00:39.146Z] TEST TEARDOWN: [2025-07-30T21:00:39.146Z] Nothing to be done for teardown. [2025-07-30T21:00:39.146Z] renaissance-movie-lens_0 Finish Time: Wed Jul 30 21:00:38 2025 Epoch Time (ms): 1753909238318