[2025-06-18T21:24:31.526Z] Running test renaissance-movie-lens_0 ... [2025-06-18T21:24:31.526Z] =============================================== [2025-06-18T21:24:31.526Z] renaissance-movie-lens_0 Start Time: Wed Jun 18 21:24:31 2025 Epoch Time (ms): 1750281871124 [2025-06-18T21:24:31.526Z] variation: NoOptions [2025-06-18T21:24:31.526Z] JVM_OPTIONS: [2025-06-18T21:24:31.526Z] { \ [2025-06-18T21:24:31.526Z] echo ""; echo "TEST SETUP:"; \ [2025-06-18T21:24:31.526Z] echo "Nothing to be done for setup."; \ [2025-06-18T21:24:31.526Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1750280544880/renaissance-movie-lens_0"; \ [2025-06-18T21:24:31.526Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1750280544880/renaissance-movie-lens_0"; \ [2025-06-18T21:24:31.526Z] echo ""; echo "TESTING:"; \ [2025-06-18T21:24:31.526Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1750280544880/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-18T21:24:31.526Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1750280544880/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-18T21:24:31.526Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-18T21:24:31.526Z] echo "Nothing to be done for teardown."; \ [2025-06-18T21:24:31.526Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_1750280544880/TestTargetResult"; [2025-06-18T21:24:31.526Z] [2025-06-18T21:24:31.526Z] TEST SETUP: [2025-06-18T21:24:31.526Z] Nothing to be done for setup. [2025-06-18T21:24:31.526Z] [2025-06-18T21:24:31.526Z] TESTING: [2025-06-18T21:24:36.632Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-18T21:24:43.321Z] 21:24:43.172 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-18T21:24:46.332Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-18T21:24:46.332Z] Training: 60056, validation: 20285, test: 19854 [2025-06-18T21:24:46.332Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-18T21:24:46.332Z] GC before operation: completed in 173.656 ms, heap usage 371.512 MB -> 75.970 MB. [2025-06-18T21:24:51.714Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:24:55.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:24:58.892Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:25:00.850Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:25:02.806Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:25:04.775Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:25:06.740Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:25:08.693Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:25:08.693Z] 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. [2025-06-18T21:25:08.693Z] The best model improves the baseline by 14.52%. [2025-06-18T21:25:08.693Z] Top recommended movies for user id 72: [2025-06-18T21:25:08.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:25:08.693Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:25:08.693Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:25:08.693Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:25:08.693Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:25:08.693Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22224.562 ms) ====== [2025-06-18T21:25:08.693Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-18T21:25:08.693Z] GC before operation: completed in 133.887 ms, heap usage 365.804 MB -> 92.226 MB. [2025-06-18T21:25:11.700Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:25:15.242Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:25:17.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:25:19.789Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:25:20.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:25:22.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:25:25.686Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:25:25.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:25:25.686Z] 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. [2025-06-18T21:25:25.686Z] The best model improves the baseline by 14.52%. [2025-06-18T21:25:26.639Z] Top recommended movies for user id 72: [2025-06-18T21:25:26.639Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:25:26.639Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:25:26.639Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:25:26.639Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:25:26.639Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:25:26.639Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (17264.071 ms) ====== [2025-06-18T21:25:26.639Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-18T21:25:26.639Z] GC before operation: completed in 142.766 ms, heap usage 439.617 MB -> 89.107 MB. [2025-06-18T21:25:28.598Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:25:31.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:25:34.633Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:25:36.587Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:25:38.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:25:39.570Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:25:41.685Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:25:42.634Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:25:42.634Z] 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. [2025-06-18T21:25:43.588Z] The best model improves the baseline by 14.52%. [2025-06-18T21:25:43.588Z] Top recommended movies for user id 72: [2025-06-18T21:25:43.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:25:43.588Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:25:43.588Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:25:43.588Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:25:43.588Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:25:43.588Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16882.974 ms) ====== [2025-06-18T21:25:43.588Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-18T21:25:43.588Z] GC before operation: completed in 131.282 ms, heap usage 473.415 MB -> 89.980 MB. [2025-06-18T21:25:45.554Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:25:48.565Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:25:50.521Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:25:52.470Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:25:54.575Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:25:55.527Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:25:57.503Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:25:59.452Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:25:59.452Z] 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. [2025-06-18T21:25:59.452Z] The best model improves the baseline by 14.52%. [2025-06-18T21:25:59.452Z] Top recommended movies for user id 72: [2025-06-18T21:25:59.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:25:59.452Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:25:59.452Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:25:59.452Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:25:59.452Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:25:59.452Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16048.726 ms) ====== [2025-06-18T21:25:59.452Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-18T21:25:59.452Z] GC before operation: completed in 136.835 ms, heap usage 263.991 MB -> 89.839 MB. [2025-06-18T21:26:02.523Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:26:04.482Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:26:06.433Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:26:09.449Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:26:10.398Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:26:12.362Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:26:15.187Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:26:16.351Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:26:16.351Z] 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. [2025-06-18T21:26:16.351Z] The best model improves the baseline by 14.52%. [2025-06-18T21:26:16.351Z] Top recommended movies for user id 72: [2025-06-18T21:26:16.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:26:16.351Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:26:16.351Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:26:16.351Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:26:16.351Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:26:16.351Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16571.489 ms) ====== [2025-06-18T21:26:16.351Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-18T21:26:16.351Z] GC before operation: completed in 139.077 ms, heap usage 479.654 MB -> 90.093 MB. [2025-06-18T21:26:18.366Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:26:21.378Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:26:23.331Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:26:25.282Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:26:27.285Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:26:29.241Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:26:30.191Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:26:32.143Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:26:32.143Z] 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. [2025-06-18T21:26:32.143Z] The best model improves the baseline by 14.52%. [2025-06-18T21:26:32.143Z] Top recommended movies for user id 72: [2025-06-18T21:26:32.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:26:32.143Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:26:32.143Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:26:32.143Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:26:32.143Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:26:32.143Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16170.922 ms) ====== [2025-06-18T21:26:32.143Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-18T21:26:33.098Z] GC before operation: completed in 123.101 ms, heap usage 152.299 MB -> 89.887 MB. [2025-06-18T21:26:35.052Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:26:37.007Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:26:40.019Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:26:41.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:26:42.921Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:26:44.871Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:26:45.822Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:26:47.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:26:47.775Z] 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. [2025-06-18T21:26:47.775Z] The best model improves the baseline by 14.52%. [2025-06-18T21:26:47.775Z] Top recommended movies for user id 72: [2025-06-18T21:26:47.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:26:47.775Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:26:47.775Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:26:47.775Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:26:47.775Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:26:47.775Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15555.459 ms) ====== [2025-06-18T21:26:47.775Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-18T21:26:48.727Z] GC before operation: completed in 115.294 ms, heap usage 378.697 MB -> 90.254 MB. [2025-06-18T21:26:50.682Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:26:52.653Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:26:54.616Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:26:56.568Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:26:58.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:26:59.470Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:27:00.421Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:27:02.375Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:27:02.376Z] 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. [2025-06-18T21:27:02.376Z] The best model improves the baseline by 14.52%. [2025-06-18T21:27:02.376Z] Top recommended movies for user id 72: [2025-06-18T21:27:02.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:27:02.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:27:02.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:27:02.376Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:27:02.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:27:02.376Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14066.246 ms) ====== [2025-06-18T21:27:02.376Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-18T21:27:02.376Z] GC before operation: completed in 114.544 ms, heap usage 367.200 MB -> 90.420 MB. [2025-06-18T21:27:05.122Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:27:07.073Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:27:09.024Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:27:10.974Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:27:11.924Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:27:13.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:27:14.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:27:16.780Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:27:16.781Z] 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. [2025-06-18T21:27:16.781Z] The best model improves the baseline by 14.52%. [2025-06-18T21:27:16.781Z] Top recommended movies for user id 72: [2025-06-18T21:27:16.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:27:16.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:27:16.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:27:16.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:27:16.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:27:16.781Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14393.912 ms) ====== [2025-06-18T21:27:16.781Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-18T21:27:16.781Z] GC before operation: completed in 120.536 ms, heap usage 278.181 MB -> 90.150 MB. [2025-06-18T21:27:18.748Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:27:21.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:27:23.755Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:27:25.713Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:27:26.663Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:27:27.622Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:27:29.757Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:27:30.708Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:27:30.708Z] 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. [2025-06-18T21:27:30.708Z] The best model improves the baseline by 14.52%. [2025-06-18T21:27:30.708Z] Top recommended movies for user id 72: [2025-06-18T21:27:30.708Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:27:30.708Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:27:30.708Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:27:30.708Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:27:30.708Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:27:30.708Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14091.677 ms) ====== [2025-06-18T21:27:30.708Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-18T21:27:31.659Z] GC before operation: completed in 113.892 ms, heap usage 173.264 MB -> 90.204 MB. [2025-06-18T21:27:33.668Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:27:35.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:27:37.572Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:27:40.585Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:27:41.535Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:27:42.486Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:27:44.438Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:27:45.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:27:46.346Z] 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. [2025-06-18T21:27:46.346Z] The best model improves the baseline by 14.52%. [2025-06-18T21:27:46.346Z] Top recommended movies for user id 72: [2025-06-18T21:27:46.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:27:46.346Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:27:46.346Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:27:46.346Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:27:46.346Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:27:46.346Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15074.933 ms) ====== [2025-06-18T21:27:46.346Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-18T21:27:46.346Z] GC before operation: completed in 112.067 ms, heap usage 345.527 MB -> 90.079 MB. [2025-06-18T21:27:49.378Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:27:51.327Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:27:54.477Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:27:55.438Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:27:57.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:27:59.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:28:00.304Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:28:02.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:28:02.262Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-18T21:28:02.262Z] The best model improves the baseline by 14.52%. [2025-06-18T21:28:02.262Z] Top recommended movies for user id 72: [2025-06-18T21:28:02.262Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:28:02.262Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:28:02.262Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:28:02.262Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:28:02.262Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:28:02.262Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15968.250 ms) ====== [2025-06-18T21:28:02.262Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-18T21:28:02.262Z] GC before operation: completed in 124.634 ms, heap usage 387.862 MB -> 90.404 MB. [2025-06-18T21:28:05.288Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:28:07.250Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:28:09.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:28:12.215Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:28:13.167Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:28:15.116Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:28:16.065Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:28:18.017Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:28:18.017Z] 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. [2025-06-18T21:28:18.017Z] The best model improves the baseline by 14.52%. [2025-06-18T21:28:18.017Z] Top recommended movies for user id 72: [2025-06-18T21:28:18.017Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:28:18.017Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:28:18.017Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:28:18.017Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:28:18.017Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:28:18.017Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15684.359 ms) ====== [2025-06-18T21:28:18.017Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-18T21:28:18.017Z] GC before operation: completed in 166.870 ms, heap usage 510.903 MB -> 90.751 MB. [2025-06-18T21:28:21.047Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:28:22.996Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:28:24.962Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:28:26.914Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:28:27.868Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:28:29.840Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:28:30.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:28:31.749Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:28:32.699Z] 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. [2025-06-18T21:28:32.699Z] The best model improves the baseline by 14.52%. [2025-06-18T21:28:32.699Z] Top recommended movies for user id 72: [2025-06-18T21:28:32.699Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:28:32.699Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:28:32.699Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:28:32.699Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:28:32.699Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:28:32.699Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14268.804 ms) ====== [2025-06-18T21:28:32.699Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-18T21:28:32.699Z] GC before operation: completed in 115.663 ms, heap usage 159.739 MB -> 90.095 MB. [2025-06-18T21:28:34.658Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:28:36.612Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:28:38.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:28:40.537Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:28:42.493Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:28:44.417Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:28:44.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:28:46.384Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:28:46.384Z] 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. [2025-06-18T21:28:46.384Z] The best model improves the baseline by 14.52%. [2025-06-18T21:28:46.384Z] Top recommended movies for user id 72: [2025-06-18T21:28:46.384Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:28:46.384Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:28:46.384Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:28:46.384Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:28:46.384Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:28:46.384Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13597.859 ms) ====== [2025-06-18T21:28:46.384Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-18T21:28:46.384Z] GC before operation: completed in 114.235 ms, heap usage 294.490 MB -> 90.499 MB. [2025-06-18T21:28:48.344Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:28:50.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:28:52.310Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:28:54.416Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:28:56.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:28:57.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:28:59.298Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:29:00.250Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:29:00.250Z] 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. [2025-06-18T21:29:00.250Z] The best model improves the baseline by 14.52%. [2025-06-18T21:29:00.250Z] Top recommended movies for user id 72: [2025-06-18T21:29:00.250Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:29:00.250Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:29:00.250Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:29:00.250Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:29:00.250Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:29:00.250Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14139.156 ms) ====== [2025-06-18T21:29:00.250Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-18T21:29:00.250Z] GC before operation: completed in 123.907 ms, heap usage 435.064 MB -> 90.488 MB. [2025-06-18T21:29:03.331Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:29:05.294Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:29:07.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:29:09.198Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:29:10.150Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:29:12.114Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:29:13.063Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:29:14.012Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:29:14.974Z] 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. [2025-06-18T21:29:14.974Z] The best model improves the baseline by 14.52%. [2025-06-18T21:29:14.974Z] Top recommended movies for user id 72: [2025-06-18T21:29:14.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:29:14.974Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:29:14.974Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:29:14.974Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:29:14.974Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:29:14.974Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14275.587 ms) ====== [2025-06-18T21:29:14.974Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-18T21:29:14.974Z] GC before operation: completed in 119.834 ms, heap usage 221.128 MB -> 90.328 MB. [2025-06-18T21:29:16.925Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:29:19.940Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:29:21.899Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:29:23.857Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:29:24.806Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:29:25.757Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:29:27.708Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:29:28.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:29:28.657Z] 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. [2025-06-18T21:29:28.657Z] The best model improves the baseline by 14.52%. [2025-06-18T21:29:29.609Z] Top recommended movies for user id 72: [2025-06-18T21:29:29.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:29:29.609Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:29:29.609Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:29:29.609Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:29:29.609Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:29:29.609Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14137.673 ms) ====== [2025-06-18T21:29:29.609Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-18T21:29:29.609Z] GC before operation: completed in 118.485 ms, heap usage 265.511 MB -> 90.288 MB. [2025-06-18T21:29:32.309Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:29:34.263Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:29:36.245Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:29:38.198Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:29:40.152Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:29:41.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:29:43.078Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:29:44.029Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:29:44.980Z] 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. [2025-06-18T21:29:44.980Z] The best model improves the baseline by 14.52%. [2025-06-18T21:29:44.980Z] Top recommended movies for user id 72: [2025-06-18T21:29:44.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:29:44.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:29:44.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:29:44.980Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:29:44.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:29:44.980Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15429.829 ms) ====== [2025-06-18T21:29:44.980Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-18T21:29:44.980Z] GC before operation: completed in 117.018 ms, heap usage 366.896 MB -> 90.507 MB. [2025-06-18T21:29:46.934Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-18T21:29:49.961Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-18T21:29:51.914Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-18T21:29:53.886Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-18T21:29:55.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-18T21:29:56.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-18T21:30:00.704Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-18T21:30:00.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-18T21:30:00.704Z] 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. [2025-06-18T21:30:00.704Z] The best model improves the baseline by 14.52%. [2025-06-18T21:30:00.704Z] Top recommended movies for user id 72: [2025-06-18T21:30:00.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-18T21:30:00.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-18T21:30:00.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-18T21:30:00.704Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-18T21:30:00.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-18T21:30:00.704Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15245.038 ms) ====== [2025-06-18T21:30:00.704Z] ----------------------------------- [2025-06-18T21:30:00.704Z] renaissance-movie-lens_0_PASSED [2025-06-18T21:30:00.704Z] ----------------------------------- [2025-06-18T21:30:00.704Z] [2025-06-18T21:30:00.704Z] TEST TEARDOWN: [2025-06-18T21:30:00.704Z] Nothing to be done for teardown. [2025-06-18T21:30:00.704Z] renaissance-movie-lens_0 Finish Time: Wed Jun 18 21:30:00 2025 Epoch Time (ms): 1750282200121