[2025-07-16T01:56:21.556Z] Running test renaissance-movie-lens_0 ... [2025-07-16T01:56:21.556Z] =============================================== [2025-07-16T01:56:21.556Z] renaissance-movie-lens_0 Start Time: Wed Jul 16 01:56:21 2025 Epoch Time (ms): 1752630981447 [2025-07-16T01:56:21.556Z] variation: NoOptions [2025-07-16T01:56:21.556Z] JVM_OPTIONS: [2025-07-16T01:56:21.556Z] { \ [2025-07-16T01:56:21.556Z] echo ""; echo "TEST SETUP:"; \ [2025-07-16T01:56:21.556Z] echo "Nothing to be done for setup."; \ [2025-07-16T01:56:21.556Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17526295974077/renaissance-movie-lens_0"; \ [2025-07-16T01:56:21.556Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17526295974077/renaissance-movie-lens_0"; \ [2025-07-16T01:56:21.556Z] echo ""; echo "TESTING:"; \ [2025-07-16T01:56:21.556Z] "/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_17526295974077/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-16T01:56:21.556Z] 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_17526295974077/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-16T01:56:21.556Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-16T01:56:21.556Z] echo "Nothing to be done for teardown."; \ [2025-07-16T01:56:21.556Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17526295974077/TestTargetResult"; [2025-07-16T01:56:21.556Z] [2025-07-16T01:56:21.556Z] TEST SETUP: [2025-07-16T01:56:21.556Z] Nothing to be done for setup. [2025-07-16T01:56:21.556Z] [2025-07-16T01:56:21.556Z] TESTING: [2025-07-16T01:56:26.988Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-16T01:56:35.241Z] 01:56:34.032 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-07-16T01:56:36.208Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-16T01:56:37.199Z] Training: 60056, validation: 20285, test: 19854 [2025-07-16T01:56:37.199Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-16T01:56:37.199Z] GC before operation: completed in 212.846 ms, heap usage 449.823 MB -> 75.975 MB. [2025-07-16T01:56:44.072Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T01:56:47.158Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T01:56:50.203Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T01:56:53.436Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T01:56:55.407Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T01:56:57.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T01:56:59.357Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T01:57:01.342Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T01:57:01.342Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T01:57:01.342Z] The best model improves the baseline by 14.52%. [2025-07-16T01:57:01.342Z] Top recommended movies for user id 72: [2025-07-16T01:57:01.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T01:57:01.342Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T01:57:01.342Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T01:57:01.342Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T01:57:01.342Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T01:57:01.342Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24634.645 ms) ====== [2025-07-16T01:57:01.342Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-16T01:57:02.306Z] GC before operation: completed in 161.956 ms, heap usage 440.272 MB -> 95.714 MB. [2025-07-16T01:57:05.399Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T01:57:07.402Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T01:57:10.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T01:57:13.522Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T01:57:15.557Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T01:57:16.531Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T01:57:18.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T01:57:20.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T01:57:20.463Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T01:57:20.463Z] The best model improves the baseline by 14.52%. [2025-07-16T01:57:20.463Z] Top recommended movies for user id 72: [2025-07-16T01:57:20.463Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T01:57:20.463Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T01:57:20.463Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T01:57:20.463Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T01:57:20.463Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T01:57:20.463Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18914.021 ms) ====== [2025-07-16T01:57:20.463Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-16T01:57:21.419Z] GC before operation: completed in 166.132 ms, heap usage 365.160 MB -> 88.918 MB. [2025-07-16T01:57:23.389Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T01:57:26.428Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T01:57:29.512Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T01:57:31.505Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T01:57:33.475Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T01:57:35.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T01:57:37.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T01:57:38.397Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T01:57:39.375Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T01:57:39.375Z] The best model improves the baseline by 14.52%. [2025-07-16T01:57:39.375Z] Top recommended movies for user id 72: [2025-07-16T01:57:39.375Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T01:57:39.375Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T01:57:39.375Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T01:57:39.375Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T01:57:39.375Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T01:57:39.375Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18352.865 ms) ====== [2025-07-16T01:57:39.375Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-16T01:57:39.375Z] GC before operation: completed in 121.773 ms, heap usage 361.703 MB -> 89.694 MB. [2025-07-16T01:57:42.405Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T01:57:44.376Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T01:57:48.303Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T01:57:49.464Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T01:57:51.433Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T01:57:52.389Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T01:57:54.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T01:57:55.320Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T01:57:56.288Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T01:57:56.288Z] The best model improves the baseline by 14.52%. [2025-07-16T01:57:56.288Z] Top recommended movies for user id 72: [2025-07-16T01:57:56.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T01:57:56.288Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T01:57:56.288Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T01:57:56.288Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T01:57:56.288Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T01:57:56.288Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16612.237 ms) ====== [2025-07-16T01:57:56.288Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-16T01:57:56.288Z] GC before operation: completed in 134.605 ms, heap usage 810.333 MB -> 93.886 MB. [2025-07-16T01:57:58.267Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T01:58:01.301Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T01:58:03.264Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T01:58:05.227Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T01:58:07.192Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T01:58:09.161Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T01:58:10.144Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T01:58:12.109Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T01:58:12.109Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T01:58:12.109Z] The best model improves the baseline by 14.52%. [2025-07-16T01:58:12.109Z] Top recommended movies for user id 72: [2025-07-16T01:58:12.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T01:58:12.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T01:58:12.109Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T01:58:12.109Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T01:58:12.109Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T01:58:12.109Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16041.580 ms) ====== [2025-07-16T01:58:12.109Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-16T01:58:12.109Z] GC before operation: completed in 143.366 ms, heap usage 431.450 MB -> 89.950 MB. [2025-07-16T01:58:15.146Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T01:58:17.165Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T01:58:20.217Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T01:58:22.357Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T01:58:23.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T01:58:25.294Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T01:58:26.254Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T01:58:28.222Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T01:58:28.222Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T01:58:28.222Z] The best model improves the baseline by 14.52%. [2025-07-16T01:58:28.222Z] Top recommended movies for user id 72: [2025-07-16T01:58:28.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T01:58:28.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T01:58:28.222Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T01:58:28.222Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T01:58:28.222Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T01:58:28.222Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16177.177 ms) ====== [2025-07-16T01:58:28.222Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-16T01:58:29.182Z] GC before operation: completed in 112.112 ms, heap usage 283.705 MB -> 90.118 MB. [2025-07-16T01:58:31.151Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T01:58:33.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T01:58:36.155Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T01:58:38.121Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T01:58:40.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T01:58:41.040Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T01:58:44.059Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T01:58:44.059Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T01:58:44.059Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T01:58:44.059Z] The best model improves the baseline by 14.52%. [2025-07-16T01:58:44.059Z] Top recommended movies for user id 72: [2025-07-16T01:58:44.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T01:58:44.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T01:58:44.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T01:58:44.059Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T01:58:44.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T01:58:44.059Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15721.486 ms) ====== [2025-07-16T01:58:44.059Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-16T01:58:45.016Z] GC before operation: completed in 147.814 ms, heap usage 284.598 MB -> 90.087 MB. [2025-07-16T01:58:46.981Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T01:58:48.957Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T01:58:51.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T01:58:53.963Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T01:58:54.927Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T01:58:56.900Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T01:58:57.935Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T01:58:59.900Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T01:58:59.901Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T01:58:59.901Z] The best model improves the baseline by 14.52%. [2025-07-16T01:58:59.901Z] Top recommended movies for user id 72: [2025-07-16T01:58:59.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T01:58:59.901Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T01:58:59.901Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T01:58:59.901Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T01:58:59.901Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T01:58:59.901Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15334.609 ms) ====== [2025-07-16T01:58:59.901Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-16T01:58:59.901Z] GC before operation: completed in 123.509 ms, heap usage 256.936 MB -> 90.245 MB. [2025-07-16T01:59:02.951Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T01:59:04.919Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T01:59:06.931Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T01:59:09.987Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T01:59:10.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T01:59:12.918Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T01:59:13.877Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T01:59:15.850Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T01:59:15.850Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T01:59:15.850Z] The best model improves the baseline by 14.52%. [2025-07-16T01:59:15.850Z] Top recommended movies for user id 72: [2025-07-16T01:59:15.850Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T01:59:15.850Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T01:59:15.850Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T01:59:15.850Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T01:59:15.850Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T01:59:15.850Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16269.776 ms) ====== [2025-07-16T01:59:15.850Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-16T01:59:16.809Z] GC before operation: completed in 132.206 ms, heap usage 461.862 MB -> 90.413 MB. [2025-07-16T01:59:18.779Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T01:59:21.831Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T01:59:23.820Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T01:59:25.816Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T01:59:27.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T01:59:28.786Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T01:59:30.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T01:59:31.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T01:59:32.674Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T01:59:32.674Z] The best model improves the baseline by 14.52%. [2025-07-16T01:59:32.674Z] Top recommended movies for user id 72: [2025-07-16T01:59:32.674Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T01:59:32.674Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T01:59:32.674Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T01:59:32.674Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T01:59:32.674Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T01:59:32.674Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16127.264 ms) ====== [2025-07-16T01:59:32.674Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-16T01:59:32.674Z] GC before operation: completed in 110.969 ms, heap usage 372.798 MB -> 90.390 MB. [2025-07-16T01:59:34.645Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T01:59:38.756Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T01:59:39.726Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T01:59:42.774Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T01:59:43.732Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T01:59:44.688Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T01:59:46.663Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T01:59:48.630Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T01:59:48.630Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T01:59:48.630Z] The best model improves the baseline by 14.52%. [2025-07-16T01:59:48.630Z] Top recommended movies for user id 72: [2025-07-16T01:59:48.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T01:59:48.630Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T01:59:48.630Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T01:59:48.630Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T01:59:48.630Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T01:59:48.630Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16096.882 ms) ====== [2025-07-16T01:59:48.630Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-16T01:59:48.630Z] GC before operation: completed in 136.159 ms, heap usage 169.902 MB -> 89.955 MB. [2025-07-16T01:59:51.665Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T01:59:53.635Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T01:59:55.628Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T01:59:58.672Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T01:59:59.636Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:00:01.613Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:00:02.634Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:00:04.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:00:04.628Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T02:00:04.628Z] The best model improves the baseline by 14.52%. [2025-07-16T02:00:05.583Z] Top recommended movies for user id 72: [2025-07-16T02:00:05.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T02:00:05.584Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T02:00:05.584Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T02:00:05.584Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T02:00:05.584Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T02:00:05.584Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16308.042 ms) ====== [2025-07-16T02:00:05.584Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-16T02:00:05.584Z] GC before operation: completed in 121.802 ms, heap usage 503.184 MB -> 90.512 MB. [2025-07-16T02:00:07.548Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:00:10.629Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:00:12.594Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:00:15.783Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:00:16.757Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:00:17.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:00:19.681Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:00:21.646Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:00:21.646Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T02:00:21.646Z] The best model improves the baseline by 14.52%. [2025-07-16T02:00:21.646Z] Top recommended movies for user id 72: [2025-07-16T02:00:21.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T02:00:21.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T02:00:21.646Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T02:00:21.646Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T02:00:21.646Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T02:00:21.646Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16485.681 ms) ====== [2025-07-16T02:00:21.646Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-16T02:00:21.646Z] GC before operation: completed in 126.896 ms, heap usage 365.307 MB -> 90.507 MB. [2025-07-16T02:00:24.683Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:00:26.653Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:00:29.696Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:00:32.576Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:00:33.724Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:00:34.688Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:00:36.673Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:00:37.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:00:38.583Z] 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. [2025-07-16T02:00:38.583Z] The best model improves the baseline by 14.52%. [2025-07-16T02:00:38.583Z] Top recommended movies for user id 72: [2025-07-16T02:00:38.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T02:00:38.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T02:00:38.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T02:00:38.583Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T02:00:38.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T02:00:38.583Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (16462.339 ms) ====== [2025-07-16T02:00:38.583Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-16T02:00:38.583Z] GC before operation: completed in 124.279 ms, heap usage 361.130 MB -> 90.318 MB. [2025-07-16T02:00:40.550Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:00:43.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:00:45.567Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:00:47.534Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:00:49.502Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:00:51.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:00:52.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:00:54.511Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:00:54.512Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T02:00:54.512Z] The best model improves the baseline by 14.52%. [2025-07-16T02:00:54.512Z] Top recommended movies for user id 72: [2025-07-16T02:00:54.512Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T02:00:54.512Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T02:00:54.512Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T02:00:54.512Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T02:00:54.512Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T02:00:54.512Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (16135.590 ms) ====== [2025-07-16T02:00:54.512Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-16T02:00:54.512Z] GC before operation: completed in 148.572 ms, heap usage 466.299 MB -> 90.651 MB. [2025-07-16T02:00:57.565Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:00:59.571Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:01:02.619Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:01:04.581Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:01:05.539Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:01:06.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:01:08.463Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:01:09.433Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:01:09.433Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T02:01:09.433Z] The best model improves the baseline by 14.52%. [2025-07-16T02:01:09.433Z] Top recommended movies for user id 72: [2025-07-16T02:01:09.433Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T02:01:09.433Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T02:01:09.433Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T02:01:09.433Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T02:01:09.433Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T02:01:09.433Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14995.809 ms) ====== [2025-07-16T02:01:09.433Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-16T02:01:10.394Z] GC before operation: completed in 109.238 ms, heap usage 194.715 MB -> 90.178 MB. [2025-07-16T02:01:12.360Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:01:14.343Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:01:17.458Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:01:19.420Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:01:20.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:01:22.351Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:01:23.308Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:01:24.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:01:25.248Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T02:01:25.248Z] The best model improves the baseline by 14.52%. [2025-07-16T02:01:25.248Z] Top recommended movies for user id 72: [2025-07-16T02:01:25.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T02:01:25.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T02:01:25.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T02:01:25.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T02:01:25.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T02:01:25.248Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15310.259 ms) ====== [2025-07-16T02:01:25.248Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-16T02:01:25.248Z] GC before operation: completed in 140.955 ms, heap usage 114.455 MB -> 90.221 MB. [2025-07-16T02:01:28.461Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:01:30.446Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:01:32.436Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:01:35.478Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:01:36.463Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:01:38.436Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:01:40.399Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:01:41.354Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:01:42.340Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T02:01:42.340Z] The best model improves the baseline by 14.52%. [2025-07-16T02:01:42.340Z] Top recommended movies for user id 72: [2025-07-16T02:01:42.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T02:01:42.340Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T02:01:42.340Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T02:01:42.340Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T02:01:42.340Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T02:01:42.340Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16682.352 ms) ====== [2025-07-16T02:01:42.340Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-16T02:01:42.340Z] GC before operation: completed in 144.831 ms, heap usage 140.357 MB -> 90.041 MB. [2025-07-16T02:01:44.310Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:01:47.398Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:01:50.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:01:52.492Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:01:54.476Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:01:56.482Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:01:58.456Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:02:00.461Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:02:00.461Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T02:02:00.461Z] The best model improves the baseline by 14.52%. [2025-07-16T02:02:00.461Z] Top recommended movies for user id 72: [2025-07-16T02:02:00.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T02:02:00.461Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T02:02:00.461Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T02:02:00.461Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T02:02:00.461Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T02:02:00.461Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18638.647 ms) ====== [2025-07-16T02:02:00.461Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-16T02:02:01.424Z] GC before operation: completed in 196.544 ms, heap usage 222.234 MB -> 90.244 MB. [2025-07-16T02:02:04.568Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-16T02:02:07.678Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-16T02:02:10.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-16T02:02:12.742Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-16T02:02:14.721Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-16T02:02:15.768Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-16T02:02:17.764Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-16T02:02:18.729Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-16T02:02:19.732Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-16T02:02:19.732Z] The best model improves the baseline by 14.52%. [2025-07-16T02:02:19.732Z] Top recommended movies for user id 72: [2025-07-16T02:02:19.732Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-16T02:02:19.732Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-16T02:02:19.732Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-16T02:02:19.732Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-16T02:02:19.732Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-16T02:02:19.732Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18528.008 ms) ====== [2025-07-16T02:02:20.696Z] ----------------------------------- [2025-07-16T02:02:20.696Z] renaissance-movie-lens_0_PASSED [2025-07-16T02:02:20.696Z] ----------------------------------- [2025-07-16T02:02:20.696Z] [2025-07-16T02:02:20.696Z] TEST TEARDOWN: [2025-07-16T02:02:20.696Z] Nothing to be done for teardown. [2025-07-16T02:02:20.696Z] renaissance-movie-lens_0 Finish Time: Wed Jul 16 02:02:19 2025 Epoch Time (ms): 1752631339745