[2025-04-16T04:31:21.694Z] Running test renaissance-movie-lens_0 ... [2025-04-16T04:31:21.694Z] =============================================== [2025-04-16T04:31:21.694Z] renaissance-movie-lens_0 Start Time: Wed Apr 16 04:31:20 2025 Epoch Time (ms): 1744777880659 [2025-04-16T04:31:21.694Z] variation: NoOptions [2025-04-16T04:31:21.694Z] JVM_OPTIONS: [2025-04-16T04:31:21.694Z] { \ [2025-04-16T04:31:21.694Z] echo ""; echo "TEST SETUP:"; \ [2025-04-16T04:31:21.694Z] echo "Nothing to be done for setup."; \ [2025-04-16T04:31:21.694Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17447764578791/renaissance-movie-lens_0"; \ [2025-04-16T04:31:21.694Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17447764578791/renaissance-movie-lens_0"; \ [2025-04-16T04:31:21.694Z] echo ""; echo "TESTING:"; \ [2025-04-16T04:31:21.694Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17447764578791/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-04-16T04:31:21.694Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17447764578791/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-04-16T04:31:21.694Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-04-16T04:31:21.694Z] echo "Nothing to be done for teardown."; \ [2025-04-16T04:31:21.694Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17447764578791/TestTargetResult"; [2025-04-16T04:31:21.694Z] [2025-04-16T04:31:21.694Z] TEST SETUP: [2025-04-16T04:31:21.694Z] Nothing to be done for setup. [2025-04-16T04:31:21.694Z] [2025-04-16T04:31:21.694Z] TESTING: [2025-04-16T04:31:27.046Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-04-16T04:31:35.192Z] 04:31:34.419 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-04-16T04:31:37.147Z] Got 100004 ratings from 671 users on 9066 movies. [2025-04-16T04:31:38.097Z] Training: 60056, validation: 20285, test: 19854 [2025-04-16T04:31:38.097Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-04-16T04:31:38.097Z] GC before operation: completed in 195.132 ms, heap usage 300.601 MB -> 74.447 MB. [2025-04-16T04:31:44.938Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:31:47.950Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:31:52.091Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:31:55.119Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:31:57.070Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:31:59.020Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:32:00.973Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:32:02.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:32:03.871Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-04-16T04:32:03.871Z] The best model improves the baseline by 14.52%. [2025-04-16T04:32:03.871Z] Top recommended movies for user id 72: [2025-04-16T04:32:03.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:32:03.871Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:32:03.871Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:32:03.871Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:32:03.871Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:32:03.871Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25835.830 ms) ====== [2025-04-16T04:32:03.871Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-04-16T04:32:03.871Z] GC before operation: completed in 209.264 ms, heap usage 322.371 MB -> 86.853 MB. [2025-04-16T04:32:09.076Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:32:11.036Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:32:14.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:32:17.057Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:32:19.003Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:32:20.950Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:32:22.899Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:32:23.847Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:32:24.796Z] 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. [2025-04-16T04:32:24.796Z] The best model improves the baseline by 14.52%. [2025-04-16T04:32:24.796Z] Top recommended movies for user id 72: [2025-04-16T04:32:24.796Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:32:24.796Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:32:24.796Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:32:24.796Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:32:24.796Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:32:24.796Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20893.711 ms) ====== [2025-04-16T04:32:24.796Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-04-16T04:32:24.796Z] GC before operation: completed in 170.502 ms, heap usage 483.302 MB -> 87.887 MB. [2025-04-16T04:32:27.819Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:32:30.832Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:32:33.841Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:32:36.858Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:32:38.809Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:32:40.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:32:43.059Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:32:45.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:32:45.010Z] 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. [2025-04-16T04:32:45.010Z] The best model improves the baseline by 14.52%. [2025-04-16T04:32:45.010Z] Top recommended movies for user id 72: [2025-04-16T04:32:45.010Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:32:45.010Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:32:45.010Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:32:45.010Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:32:45.010Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:32:45.010Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20064.201 ms) ====== [2025-04-16T04:32:45.010Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-04-16T04:32:45.010Z] GC before operation: completed in 153.763 ms, heap usage 385.334 MB -> 88.394 MB. [2025-04-16T04:32:48.017Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:32:51.028Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:32:54.036Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:32:57.048Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:32:59.048Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:33:00.998Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:33:02.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:33:04.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:33:04.900Z] 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. [2025-04-16T04:33:04.900Z] The best model improves the baseline by 14.52%. [2025-04-16T04:33:05.850Z] Top recommended movies for user id 72: [2025-04-16T04:33:05.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:33:05.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:33:05.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:33:05.850Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:33:05.850Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:33:05.850Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20198.467 ms) ====== [2025-04-16T04:33:05.850Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-04-16T04:33:05.850Z] GC before operation: completed in 159.285 ms, heap usage 393.564 MB -> 88.670 MB. [2025-04-16T04:33:08.858Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:33:11.870Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:33:14.747Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:33:17.768Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:33:19.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:33:21.671Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:33:23.631Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:33:25.583Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:33:25.583Z] 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. [2025-04-16T04:33:25.583Z] The best model improves the baseline by 14.52%. [2025-04-16T04:33:25.583Z] Top recommended movies for user id 72: [2025-04-16T04:33:25.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:33:25.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:33:25.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:33:25.583Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:33:25.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:33:25.583Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20171.119 ms) ====== [2025-04-16T04:33:25.583Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-04-16T04:33:25.583Z] GC before operation: completed in 164.930 ms, heap usage 415.643 MB -> 88.605 MB. [2025-04-16T04:33:28.612Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:33:31.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:33:34.651Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:33:37.659Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:33:39.620Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:33:40.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:33:42.528Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:33:44.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:33:44.478Z] 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. [2025-04-16T04:33:44.478Z] The best model improves the baseline by 14.52%. [2025-04-16T04:33:44.478Z] Top recommended movies for user id 72: [2025-04-16T04:33:44.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:33:44.478Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:33:44.478Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:33:44.478Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:33:44.478Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:33:44.478Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18868.526 ms) ====== [2025-04-16T04:33:44.478Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-04-16T04:33:45.426Z] GC before operation: completed in 159.792 ms, heap usage 461.702 MB -> 89.023 MB. [2025-04-16T04:33:47.374Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:33:50.394Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:33:53.398Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:33:56.406Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:33:58.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:34:00.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:34:02.256Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:34:04.203Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:34:04.203Z] 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. [2025-04-16T04:34:04.204Z] The best model improves the baseline by 14.52%. [2025-04-16T04:34:04.204Z] Top recommended movies for user id 72: [2025-04-16T04:34:04.204Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:34:04.204Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:34:04.204Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:34:04.204Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:34:04.204Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:34:04.204Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19231.306 ms) ====== [2025-04-16T04:34:04.204Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-04-16T04:34:04.204Z] GC before operation: completed in 189.498 ms, heap usage 421.949 MB -> 88.868 MB. [2025-04-16T04:34:07.207Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:34:10.213Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:34:13.228Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:34:16.234Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:34:18.327Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:34:19.283Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:34:21.249Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:34:23.600Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:34:23.600Z] 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. [2025-04-16T04:34:23.600Z] The best model improves the baseline by 14.52%. [2025-04-16T04:34:23.600Z] Top recommended movies for user id 72: [2025-04-16T04:34:23.600Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:34:23.600Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:34:23.600Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:34:23.600Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:34:23.600Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:34:23.600Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19236.588 ms) ====== [2025-04-16T04:34:23.600Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-04-16T04:34:23.601Z] GC before operation: completed in 166.215 ms, heap usage 421.899 MB -> 89.073 MB. [2025-04-16T04:34:26.604Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:34:29.633Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:34:32.660Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:34:35.667Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:34:37.628Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:34:39.585Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:34:40.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:34:42.542Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:34:42.542Z] 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. [2025-04-16T04:34:42.542Z] The best model improves the baseline by 14.52%. [2025-04-16T04:34:43.490Z] Top recommended movies for user id 72: [2025-04-16T04:34:43.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:34:43.490Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:34:43.490Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:34:43.490Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:34:43.490Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:34:43.490Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (19278.213 ms) ====== [2025-04-16T04:34:43.490Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-04-16T04:34:43.490Z] GC before operation: completed in 153.158 ms, heap usage 123.331 MB -> 88.583 MB. [2025-04-16T04:34:46.505Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:34:48.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:34:51.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:34:54.478Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:34:56.427Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:34:58.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:35:00.326Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:35:01.282Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:35:02.231Z] 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. [2025-04-16T04:35:02.231Z] The best model improves the baseline by 14.52%. [2025-04-16T04:35:02.231Z] Top recommended movies for user id 72: [2025-04-16T04:35:02.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:35:02.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:35:02.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:35:02.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:35:02.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:35:02.232Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18933.603 ms) ====== [2025-04-16T04:35:02.232Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-04-16T04:35:02.232Z] GC before operation: completed in 146.169 ms, heap usage 205.114 MB -> 88.877 MB. [2025-04-16T04:35:05.245Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:35:08.252Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:35:10.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:35:13.209Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:35:15.156Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:35:17.105Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:35:18.053Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:35:20.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:35:20.010Z] 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. [2025-04-16T04:35:20.010Z] The best model improves the baseline by 14.52%. [2025-04-16T04:35:20.960Z] Top recommended movies for user id 72: [2025-04-16T04:35:20.960Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:35:20.960Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:35:20.960Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:35:20.960Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:35:20.960Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:35:20.960Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18251.164 ms) ====== [2025-04-16T04:35:20.960Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-04-16T04:35:20.960Z] GC before operation: completed in 161.054 ms, heap usage 390.348 MB -> 88.840 MB. [2025-04-16T04:35:23.972Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:35:25.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:35:28.924Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:35:31.934Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:35:34.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:35:34.989Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:35:36.944Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:35:38.891Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:35:38.891Z] 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. [2025-04-16T04:35:38.891Z] The best model improves the baseline by 14.52%. [2025-04-16T04:35:39.843Z] Top recommended movies for user id 72: [2025-04-16T04:35:39.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:35:39.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:35:39.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:35:39.843Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:35:39.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:35:39.843Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (18647.582 ms) ====== [2025-04-16T04:35:39.843Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-04-16T04:35:39.843Z] GC before operation: completed in 148.992 ms, heap usage 349.868 MB -> 88.957 MB. [2025-04-16T04:35:41.908Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:35:44.939Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:35:48.204Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:35:51.216Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:35:53.163Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:35:54.112Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:35:56.063Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:35:58.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:35:58.011Z] 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. [2025-04-16T04:35:58.011Z] The best model improves the baseline by 14.52%. [2025-04-16T04:35:58.011Z] Top recommended movies for user id 72: [2025-04-16T04:35:58.011Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:35:58.011Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:35:58.011Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:35:58.011Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:35:58.011Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:35:58.011Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (18862.884 ms) ====== [2025-04-16T04:35:58.011Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-04-16T04:35:58.970Z] GC before operation: completed in 152.072 ms, heap usage 483.230 MB -> 89.346 MB. [2025-04-16T04:36:00.924Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:36:03.931Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:36:06.941Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:36:09.949Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:36:11.922Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:36:12.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:36:14.822Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:36:16.770Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:36:16.770Z] 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. [2025-04-16T04:36:16.770Z] The best model improves the baseline by 14.52%. [2025-04-16T04:36:16.770Z] Top recommended movies for user id 72: [2025-04-16T04:36:16.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:36:16.770Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:36:16.770Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:36:16.770Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:36:16.770Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:36:16.770Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18637.573 ms) ====== [2025-04-16T04:36:16.770Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-04-16T04:36:17.721Z] GC before operation: completed in 153.867 ms, heap usage 319.744 MB -> 88.938 MB. [2025-04-16T04:36:19.668Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:36:22.683Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:36:25.690Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:36:28.696Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:36:30.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:36:32.594Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:36:34.563Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:36:35.526Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:36:36.474Z] 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. [2025-04-16T04:36:36.474Z] The best model improves the baseline by 14.52%. [2025-04-16T04:36:36.474Z] Top recommended movies for user id 72: [2025-04-16T04:36:36.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:36:36.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:36:36.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:36:36.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:36:36.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:36:36.474Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19122.191 ms) ====== [2025-04-16T04:36:36.474Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-04-16T04:36:36.474Z] GC before operation: completed in 160.788 ms, heap usage 396.066 MB -> 89.249 MB. [2025-04-16T04:36:39.485Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:36:42.481Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:36:45.518Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:36:48.540Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:36:49.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:36:51.441Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:36:53.391Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:36:55.338Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:36:55.338Z] 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. [2025-04-16T04:36:55.338Z] The best model improves the baseline by 14.52%. [2025-04-16T04:36:55.338Z] Top recommended movies for user id 72: [2025-04-16T04:36:55.338Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:36:55.338Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:36:55.338Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:36:55.338Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:36:55.338Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:36:55.338Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18900.733 ms) ====== [2025-04-16T04:36:55.338Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-04-16T04:36:55.338Z] GC before operation: completed in 169.928 ms, heap usage 422.972 MB -> 89.094 MB. [2025-04-16T04:36:58.344Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:37:01.374Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:37:04.418Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:37:07.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:37:08.373Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:37:10.321Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:37:12.268Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:37:14.232Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:37:14.232Z] 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. [2025-04-16T04:37:14.232Z] The best model improves the baseline by 14.52%. [2025-04-16T04:37:14.232Z] Top recommended movies for user id 72: [2025-04-16T04:37:14.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:37:14.232Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:37:14.232Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:37:14.232Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:37:14.232Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:37:14.232Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18761.422 ms) ====== [2025-04-16T04:37:14.232Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-04-16T04:37:14.232Z] GC before operation: completed in 160.547 ms, heap usage 382.573 MB -> 89.177 MB. [2025-04-16T04:37:17.244Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:37:20.256Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:37:23.317Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:37:25.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:37:27.239Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:37:29.198Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:37:31.158Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:37:33.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:37:33.103Z] 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. [2025-04-16T04:37:33.103Z] The best model improves the baseline by 14.52%. [2025-04-16T04:37:33.103Z] Top recommended movies for user id 72: [2025-04-16T04:37:33.103Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:37:33.103Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:37:33.103Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:37:33.103Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:37:33.103Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:37:33.103Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18393.358 ms) ====== [2025-04-16T04:37:33.103Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-04-16T04:37:33.103Z] GC before operation: completed in 151.209 ms, heap usage 98.939 MB -> 88.542 MB. [2025-04-16T04:37:36.109Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:37:39.112Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:37:42.323Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:37:44.270Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:37:46.221Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:37:48.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:37:49.975Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:37:50.922Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:37:51.870Z] 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. [2025-04-16T04:37:51.870Z] The best model improves the baseline by 14.52%. [2025-04-16T04:37:51.870Z] Top recommended movies for user id 72: [2025-04-16T04:37:51.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:37:51.870Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:37:51.870Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:37:51.870Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:37:51.870Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:37:51.870Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18490.477 ms) ====== [2025-04-16T04:37:51.870Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-04-16T04:37:51.870Z] GC before operation: completed in 148.591 ms, heap usage 161.143 MB -> 88.851 MB. [2025-04-16T04:37:54.884Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-16T04:37:57.889Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-16T04:38:00.903Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-16T04:38:03.919Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-16T04:38:04.869Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-16T04:38:06.821Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-16T04:38:08.768Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-16T04:38:09.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-16T04:38:10.672Z] 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. [2025-04-16T04:38:10.672Z] The best model improves the baseline by 14.52%. [2025-04-16T04:38:10.672Z] Top recommended movies for user id 72: [2025-04-16T04:38:10.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-16T04:38:10.672Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-16T04:38:10.672Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-16T04:38:10.672Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-16T04:38:10.672Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-16T04:38:10.672Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18828.052 ms) ====== [2025-04-16T04:38:11.622Z] ----------------------------------- [2025-04-16T04:38:11.622Z] renaissance-movie-lens_0_PASSED [2025-04-16T04:38:11.622Z] ----------------------------------- [2025-04-16T04:38:11.622Z] [2025-04-16T04:38:11.622Z] TEST TEARDOWN: [2025-04-16T04:38:11.622Z] Nothing to be done for teardown. [2025-04-16T04:38:11.622Z] renaissance-movie-lens_0 Finish Time: Wed Apr 16 04:38:10 2025 Epoch Time (ms): 1744778290639