[2025-08-02T03:56:35.346Z] Running test renaissance-movie-lens_0 ... [2025-08-02T03:56:35.346Z] =============================================== [2025-08-02T03:56:35.346Z] renaissance-movie-lens_0 Start Time: Sat Aug 2 03:56:35 2025 Epoch Time (ms): 1754106995272 [2025-08-02T03:56:35.671Z] variation: NoOptions [2025-08-02T03:56:35.671Z] JVM_OPTIONS: [2025-08-02T03:56:35.671Z] { \ [2025-08-02T03:56:35.671Z] echo ""; echo "TEST SETUP:"; \ [2025-08-02T03:56:35.671Z] echo "Nothing to be done for setup."; \ [2025-08-02T03:56:35.671Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17541054958678\\renaissance-movie-lens_0"; \ [2025-08-02T03:56:35.671Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17541054958678\\renaissance-movie-lens_0"; \ [2025-08-02T03:56:35.671Z] echo ""; echo "TESTING:"; \ [2025-08-02T03:56:35.671Z] "c:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows_rerun/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_openjdk11_hs_extended.perf_x86-64_windows_rerun/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17541054958678\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-08-02T03:56:35.672Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows_rerun/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17541054958678\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-02T03:56:35.672Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-02T03:56:35.672Z] echo "Nothing to be done for teardown."; \ [2025-08-02T03:56:35.672Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows_rerun/aqa-tests/\\TKG\\output_17541054958678\\TestTargetResult"; [2025-08-02T03:56:35.672Z] [2025-08-02T03:56:35.672Z] TEST SETUP: [2025-08-02T03:56:35.672Z] Nothing to be done for setup. [2025-08-02T03:56:35.672Z] [2025-08-02T03:56:35.672Z] TESTING: [2025-08-02T03:56:54.500Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-02T03:57:03.227Z] 03:57:01.625 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-08-02T03:57:04.440Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-02T03:57:05.160Z] Training: 60056, validation: 20285, test: 19854 [2025-08-02T03:57:05.161Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-02T03:57:05.509Z] GC before operation: completed in 192.222 ms, heap usage 325.878 MB -> 74.946 MB. [2025-08-02T03:57:21.311Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T03:57:34.499Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T03:57:45.178Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T03:57:55.921Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T03:58:03.030Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T03:58:08.832Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T03:58:14.623Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T03:58:21.846Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T03:58:21.846Z] 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. [2025-08-02T03:58:21.846Z] The best model improves the baseline by 14.52%. [2025-08-02T03:58:21.846Z] Top recommended movies for user id 72: [2025-08-02T03:58:21.846Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T03:58:21.846Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T03:58:21.846Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T03:58:21.846Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T03:58:21.846Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T03:58:21.846Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (76517.146 ms) ====== [2025-08-02T03:58:21.846Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-02T03:58:22.169Z] GC before operation: completed in 173.852 ms, heap usage 169.254 MB -> 89.447 MB. [2025-08-02T03:58:32.763Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T03:58:43.350Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T03:58:53.970Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T03:59:02.764Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T03:59:08.541Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T03:59:14.543Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T03:59:20.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T03:59:26.302Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T03:59:26.633Z] 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. [2025-08-02T03:59:26.996Z] The best model improves the baseline by 14.52%. [2025-08-02T03:59:27.345Z] Top recommended movies for user id 72: [2025-08-02T03:59:27.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T03:59:27.345Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T03:59:27.345Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T03:59:27.345Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T03:59:27.345Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T03:59:27.345Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (65145.585 ms) ====== [2025-08-02T03:59:27.345Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-02T03:59:27.345Z] GC before operation: completed in 178.156 ms, heap usage 199.514 MB -> 87.939 MB. [2025-08-02T03:59:37.971Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T03:59:46.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T03:59:57.298Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:00:07.887Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:00:12.500Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:00:18.255Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:00:24.024Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:00:29.890Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:00:29.890Z] 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. [2025-08-02T04:00:29.890Z] The best model improves the baseline by 14.52%. [2025-08-02T04:00:29.890Z] Top recommended movies for user id 72: [2025-08-02T04:00:29.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:00:29.890Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:00:29.890Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:00:29.890Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:00:29.890Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:00:29.890Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (62519.668 ms) ====== [2025-08-02T04:00:29.890Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-02T04:00:30.212Z] GC before operation: completed in 191.805 ms, heap usage 193.688 MB -> 88.581 MB. [2025-08-02T04:00:40.795Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:00:49.515Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:01:00.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:01:08.900Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:01:14.645Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:01:20.414Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:01:27.499Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:01:32.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:01:32.792Z] 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. [2025-08-02T04:01:32.792Z] The best model improves the baseline by 14.52%. [2025-08-02T04:01:33.117Z] Top recommended movies for user id 72: [2025-08-02T04:01:33.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:01:33.117Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:01:33.117Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:01:33.117Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:01:33.117Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:01:33.117Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (63000.661 ms) ====== [2025-08-02T04:01:33.117Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-02T04:01:33.117Z] GC before operation: completed in 171.845 ms, heap usage 195.103 MB -> 88.866 MB. [2025-08-02T04:01:43.738Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:01:52.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:02:05.346Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:02:12.472Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:02:18.206Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:02:23.968Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:02:29.768Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:02:35.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:02:35.836Z] 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. [2025-08-02T04:02:35.836Z] The best model improves the baseline by 14.52%. [2025-08-02T04:02:36.200Z] Top recommended movies for user id 72: [2025-08-02T04:02:36.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:02:36.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:02:36.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:02:36.200Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:02:36.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:02:36.200Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (62948.106 ms) ====== [2025-08-02T04:02:36.200Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-02T04:02:36.534Z] GC before operation: completed in 164.093 ms, heap usage 194.766 MB -> 88.811 MB. [2025-08-02T04:02:47.156Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:02:55.869Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:03:06.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:03:15.182Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:03:19.802Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:03:25.536Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:03:31.278Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:03:35.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:03:36.585Z] 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. [2025-08-02T04:03:36.585Z] The best model improves the baseline by 14.52%. [2025-08-02T04:03:36.965Z] Top recommended movies for user id 72: [2025-08-02T04:03:36.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:03:36.965Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:03:36.965Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:03:36.965Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:03:36.965Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:03:36.965Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (60585.725 ms) ====== [2025-08-02T04:03:36.965Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-02T04:03:37.292Z] GC before operation: completed in 174.103 ms, heap usage 196.170 MB -> 89.109 MB. [2025-08-02T04:03:45.982Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:03:56.607Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:04:05.280Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:04:15.916Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:04:20.525Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:04:25.174Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:04:30.938Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:04:36.696Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:04:37.021Z] 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. [2025-08-02T04:04:37.021Z] The best model improves the baseline by 14.52%. [2025-08-02T04:04:37.353Z] Top recommended movies for user id 72: [2025-08-02T04:04:37.353Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:04:37.353Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:04:37.353Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:04:37.353Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:04:37.353Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:04:37.353Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (60219.526 ms) ====== [2025-08-02T04:04:37.353Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-02T04:04:37.677Z] GC before operation: completed in 166.630 ms, heap usage 195.088 MB -> 89.055 MB. [2025-08-02T04:04:46.389Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:04:55.081Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:05:05.681Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:05:14.385Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:05:20.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:05:25.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:05:31.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:05:37.512Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:05:37.833Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-02T04:05:37.833Z] The best model improves the baseline by 14.52%. [2025-08-02T04:05:38.159Z] Top recommended movies for user id 72: [2025-08-02T04:05:38.159Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:05:38.159Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:05:38.159Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:05:38.159Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:05:38.159Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:05:38.159Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (60545.788 ms) ====== [2025-08-02T04:05:38.159Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-02T04:05:38.159Z] GC before operation: completed in 169.841 ms, heap usage 128.217 MB -> 89.164 MB. [2025-08-02T04:05:48.765Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:05:57.496Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:06:08.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:06:17.146Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:06:21.865Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:06:27.674Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:06:33.466Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:06:38.118Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:06:38.806Z] 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. [2025-08-02T04:06:38.806Z] The best model improves the baseline by 14.52%. [2025-08-02T04:06:39.247Z] Top recommended movies for user id 72: [2025-08-02T04:06:39.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:06:39.247Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:06:39.247Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:06:39.247Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:06:39.247Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:06:39.247Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (61043.768 ms) ====== [2025-08-02T04:06:39.247Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-02T04:06:39.569Z] GC before operation: completed in 158.029 ms, heap usage 165.497 MB -> 89.124 MB. [2025-08-02T04:06:48.276Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:06:58.951Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:07:07.702Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:07:16.417Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:07:22.191Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:07:27.992Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:07:33.797Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:07:38.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:07:39.286Z] 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. [2025-08-02T04:07:39.286Z] The best model improves the baseline by 14.52%. [2025-08-02T04:07:39.646Z] Top recommended movies for user id 72: [2025-08-02T04:07:39.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:07:39.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:07:39.646Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:07:39.646Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:07:39.646Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:07:39.646Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (60010.031 ms) ====== [2025-08-02T04:07:39.646Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-02T04:07:39.646Z] GC before operation: completed in 159.559 ms, heap usage 166.942 MB -> 89.325 MB. [2025-08-02T04:07:50.341Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:07:59.116Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:08:09.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:08:18.497Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:08:23.204Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:08:28.947Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:08:34.834Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:08:39.465Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:08:40.153Z] 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. [2025-08-02T04:08:40.153Z] The best model improves the baseline by 14.52%. [2025-08-02T04:08:40.491Z] Top recommended movies for user id 72: [2025-08-02T04:08:40.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:08:40.491Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:08:40.491Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:08:40.491Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:08:40.491Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:08:40.491Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (60832.437 ms) ====== [2025-08-02T04:08:40.491Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-02T04:08:40.491Z] GC before operation: completed in 159.511 ms, heap usage 176.224 MB -> 89.052 MB. [2025-08-02T04:08:51.172Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:08:59.941Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:09:10.571Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:09:21.176Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:09:25.801Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:09:31.520Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:09:37.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:09:41.852Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:09:42.543Z] 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. [2025-08-02T04:09:42.543Z] The best model improves the baseline by 14.52%. [2025-08-02T04:09:42.918Z] Top recommended movies for user id 72: [2025-08-02T04:09:42.918Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:09:42.918Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:09:42.918Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:09:42.918Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:09:42.918Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:09:42.918Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (62327.769 ms) ====== [2025-08-02T04:09:42.918Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-02T04:09:43.241Z] GC before operation: completed in 170.636 ms, heap usage 199.729 MB -> 89.282 MB. [2025-08-02T04:09:53.840Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:10:02.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:10:13.182Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:10:21.876Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:10:26.475Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:10:32.222Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:10:37.954Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:10:42.565Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:10:43.273Z] 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. [2025-08-02T04:10:43.273Z] The best model improves the baseline by 14.52%. [2025-08-02T04:10:43.591Z] Top recommended movies for user id 72: [2025-08-02T04:10:43.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:10:43.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:10:43.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:10:43.591Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:10:43.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:10:43.591Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (60366.616 ms) ====== [2025-08-02T04:10:43.591Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-02T04:10:43.591Z] GC before operation: completed in 160.322 ms, heap usage 163.971 MB -> 89.382 MB. [2025-08-02T04:10:54.212Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:11:02.911Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:11:13.525Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:11:22.208Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:11:26.892Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:11:32.654Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:11:38.420Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:11:44.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:11:44.200Z] 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. [2025-08-02T04:11:44.200Z] The best model improves the baseline by 14.52%. [2025-08-02T04:11:44.522Z] Top recommended movies for user id 72: [2025-08-02T04:11:44.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:11:44.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:11:44.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:11:44.522Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:11:44.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:11:44.522Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (60748.932 ms) ====== [2025-08-02T04:11:44.522Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-02T04:11:44.522Z] GC before operation: completed in 163.774 ms, heap usage 206.470 MB -> 89.209 MB. [2025-08-02T04:11:55.119Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:12:03.817Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:12:14.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:12:23.110Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:12:28.837Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:12:33.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:12:40.542Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:12:45.196Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:12:45.531Z] 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. [2025-08-02T04:12:45.531Z] The best model improves the baseline by 14.52%. [2025-08-02T04:12:45.858Z] Top recommended movies for user id 72: [2025-08-02T04:12:45.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:12:45.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:12:45.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:12:45.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:12:45.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:12:45.858Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (61195.153 ms) ====== [2025-08-02T04:12:45.858Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-02T04:12:45.858Z] GC before operation: completed in 161.137 ms, heap usage 168.168 MB -> 89.436 MB. [2025-08-02T04:12:56.495Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:13:05.176Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:13:15.764Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:13:24.468Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:13:29.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:13:34.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:13:41.917Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:13:46.536Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:13:46.857Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-02T04:13:46.857Z] The best model improves the baseline by 14.52%. [2025-08-02T04:13:47.182Z] Top recommended movies for user id 72: [2025-08-02T04:13:47.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:13:47.182Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:13:47.182Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:13:47.182Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:13:47.182Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:13:47.182Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (61224.408 ms) ====== [2025-08-02T04:13:47.182Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-02T04:13:47.182Z] GC before operation: completed in 173.254 ms, heap usage 180.930 MB -> 89.261 MB. [2025-08-02T04:13:55.876Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:14:06.516Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:14:17.099Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:14:25.826Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:14:30.468Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:14:36.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:14:41.940Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:14:47.695Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:14:47.695Z] 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. [2025-08-02T04:14:47.695Z] The best model improves the baseline by 14.52%. [2025-08-02T04:14:48.020Z] Top recommended movies for user id 72: [2025-08-02T04:14:48.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:14:48.020Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:14:48.020Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:14:48.020Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:14:48.020Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:14:48.020Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (60693.851 ms) ====== [2025-08-02T04:14:48.020Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-02T04:14:48.392Z] GC before operation: completed in 175.135 ms, heap usage 216.175 MB -> 89.357 MB. [2025-08-02T04:14:59.009Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:15:07.779Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:15:18.522Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:15:27.279Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:15:31.895Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:15:36.591Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:15:42.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:15:48.254Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:15:48.254Z] 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. [2025-08-02T04:15:48.254Z] The best model improves the baseline by 14.52%. [2025-08-02T04:15:48.645Z] Top recommended movies for user id 72: [2025-08-02T04:15:48.645Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:15:48.645Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:15:48.645Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:15:48.645Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:15:48.645Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:15:48.645Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (60493.104 ms) ====== [2025-08-02T04:15:48.645Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-02T04:15:48.969Z] GC before operation: completed in 156.209 ms, heap usage 167.412 MB -> 89.191 MB. [2025-08-02T04:15:57.660Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:16:08.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:16:18.906Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:16:27.601Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:16:32.235Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:16:36.959Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:16:42.696Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:16:48.469Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:16:48.794Z] 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. [2025-08-02T04:16:48.794Z] The best model improves the baseline by 14.52%. [2025-08-02T04:16:49.232Z] Top recommended movies for user id 72: [2025-08-02T04:16:49.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:16:49.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:16:49.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:16:49.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:16:49.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:16:49.232Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (60434.371 ms) ====== [2025-08-02T04:16:49.232Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-02T04:16:49.554Z] GC before operation: completed in 159.216 ms, heap usage 180.689 MB -> 89.308 MB. [2025-08-02T04:16:58.245Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T04:17:08.877Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T04:17:19.472Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T04:17:26.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T04:17:32.315Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T04:17:38.085Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T04:17:43.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T04:17:48.482Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T04:17:49.172Z] 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. [2025-08-02T04:17:49.504Z] The best model improves the baseline by 14.52%. [2025-08-02T04:17:49.830Z] Top recommended movies for user id 72: [2025-08-02T04:17:49.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T04:17:49.830Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T04:17:49.830Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T04:17:49.830Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T04:17:49.830Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T04:17:49.830Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (60265.816 ms) ====== [2025-08-02T04:17:50.154Z] ----------------------------------- [2025-08-02T04:17:50.154Z] renaissance-movie-lens_0_PASSED [2025-08-02T04:17:50.154Z] ----------------------------------- [2025-08-02T04:17:50.931Z] [2025-08-02T04:17:50.931Z] TEST TEARDOWN: [2025-08-02T04:17:50.931Z] Nothing to be done for teardown. [2025-08-02T04:17:50.931Z] renaissance-movie-lens_0 Finish Time: Sat Aug 2 04:17:50 2025 Epoch Time (ms): 1754108270742