[2025-11-05T23:02:29.538Z] Running test renaissance-movie-lens_0 ... [2025-11-05T23:02:29.538Z] =============================================== [2025-11-05T23:02:29.538Z] renaissance-movie-lens_0 Start Time: Wed Nov 5 23:02:28 2025 Epoch Time (ms): 1762383748962 [2025-11-05T23:02:29.538Z] variation: NoOptions [2025-11-05T23:02:29.538Z] JVM_OPTIONS: [2025-11-05T23:02:29.538Z] { \ [2025-11-05T23:02:29.538Z] echo ""; echo "TEST SETUP:"; \ [2025-11-05T23:02:29.538Z] echo "Nothing to be done for setup."; \ [2025-11-05T23:02:29.538Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17623819334793/renaissance-movie-lens_0"; \ [2025-11-05T23:02:29.538Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17623819334793/renaissance-movie-lens_0"; \ [2025-11-05T23:02:29.538Z] echo ""; echo "TESTING:"; \ [2025-11-05T23:02:29.538Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_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_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17623819334793/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-11-05T23:02:29.538Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17623819334793/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-11-05T23:02:29.538Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-11-05T23:02:29.538Z] echo "Nothing to be done for teardown."; \ [2025-11-05T23:02:29.538Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17623819334793/TestTargetResult"; [2025-11-05T23:02:29.538Z] [2025-11-05T23:02:29.538Z] TEST SETUP: [2025-11-05T23:02:29.538Z] Nothing to be done for setup. [2025-11-05T23:02:29.538Z] [2025-11-05T23:02:29.538Z] TESTING: [2025-11-05T23:02:34.418Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-11-05T23:02:41.770Z] 23:02:41.751 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-11-05T23:02:45.604Z] Got 100004 ratings from 671 users on 9066 movies. [2025-11-05T23:02:46.032Z] Training: 60056, validation: 20285, test: 19854 [2025-11-05T23:02:46.032Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-11-05T23:02:46.032Z] GC before operation: completed in 142.185 ms, heap usage 203.358 MB -> 75.395 MB. [2025-11-05T23:02:55.031Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:02:59.881Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:03:04.726Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:03:08.584Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:03:10.974Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:03:13.979Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:03:15.734Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:03:18.027Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:03:18.366Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:03:18.366Z] The best model improves the baseline by 14.34%. [2025-11-05T23:03:18.704Z] Top recommended movies for user id 72: [2025-11-05T23:03:18.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:03:18.704Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:03:18.704Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:03:18.704Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:03:18.704Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:03:18.704Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32681.785 ms) ====== [2025-11-05T23:03:18.704Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-11-05T23:03:18.704Z] GC before operation: completed in 158.784 ms, heap usage 387.300 MB -> 88.241 MB. [2025-11-05T23:03:21.710Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:03:24.714Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:03:27.767Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:03:30.776Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:03:32.486Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:03:34.203Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:03:35.911Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:03:37.147Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:03:37.488Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:03:37.488Z] The best model improves the baseline by 14.34%. [2025-11-05T23:03:37.835Z] Top recommended movies for user id 72: [2025-11-05T23:03:37.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:03:37.835Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:03:37.835Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:03:37.835Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:03:37.835Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:03:37.835Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19009.456 ms) ====== [2025-11-05T23:03:37.835Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-11-05T23:03:37.835Z] GC before operation: completed in 142.575 ms, heap usage 306.237 MB -> 87.673 MB. [2025-11-05T23:03:40.284Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:03:43.320Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:03:45.662Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:03:48.739Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:03:50.468Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:03:51.651Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:03:53.982Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:03:55.676Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:03:55.676Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:03:55.676Z] The best model improves the baseline by 14.34%. [2025-11-05T23:03:56.022Z] Top recommended movies for user id 72: [2025-11-05T23:03:56.022Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:03:56.022Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:03:56.022Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:03:56.022Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:03:56.022Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:03:56.022Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17961.975 ms) ====== [2025-11-05T23:03:56.022Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-11-05T23:03:56.022Z] GC before operation: completed in 154.325 ms, heap usage 175.566 MB -> 88.150 MB. [2025-11-05T23:03:58.350Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:04:01.416Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:04:03.852Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:04:06.181Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:04:07.889Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:04:09.608Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:04:10.788Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:04:12.489Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:04:12.489Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:04:12.827Z] The best model improves the baseline by 14.34%. [2025-11-05T23:04:12.827Z] Top recommended movies for user id 72: [2025-11-05T23:04:12.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:04:12.827Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:04:12.827Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:04:12.827Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:04:12.827Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:04:12.827Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16796.668 ms) ====== [2025-11-05T23:04:12.827Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-11-05T23:04:12.827Z] GC before operation: completed in 155.851 ms, heap usage 254.680 MB -> 88.528 MB. [2025-11-05T23:04:15.829Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:04:18.118Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:04:21.120Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:04:22.813Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:04:24.581Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:04:26.263Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:04:27.422Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:04:29.105Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:04:29.444Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:04:29.444Z] The best model improves the baseline by 14.34%. [2025-11-05T23:04:29.444Z] Top recommended movies for user id 72: [2025-11-05T23:04:29.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:04:29.445Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:04:29.445Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:04:29.445Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:04:29.445Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:04:29.445Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16535.893 ms) ====== [2025-11-05T23:04:29.445Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-11-05T23:04:29.778Z] GC before operation: completed in 149.977 ms, heap usage 282.129 MB -> 88.513 MB. [2025-11-05T23:04:32.070Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:04:35.082Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:04:37.372Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:04:39.669Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:04:41.374Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:04:42.582Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:04:44.298Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:04:46.040Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:04:46.040Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:04:46.040Z] The best model improves the baseline by 14.34%. [2025-11-05T23:04:46.434Z] Top recommended movies for user id 72: [2025-11-05T23:04:46.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:04:46.434Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:04:46.434Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:04:46.434Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:04:46.434Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:04:46.434Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16574.019 ms) ====== [2025-11-05T23:04:46.434Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-11-05T23:04:46.434Z] GC before operation: completed in 141.565 ms, heap usage 284.568 MB -> 88.753 MB. [2025-11-05T23:04:48.793Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:04:51.128Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:04:54.184Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:04:56.488Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:04:58.192Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:04:59.363Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:05:01.062Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:05:02.793Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:05:02.793Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:05:03.138Z] The best model improves the baseline by 14.34%. [2025-11-05T23:05:03.138Z] Top recommended movies for user id 72: [2025-11-05T23:05:03.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:05:03.138Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:05:03.138Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:05:03.138Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:05:03.138Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:05:03.138Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16697.843 ms) ====== [2025-11-05T23:05:03.138Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-11-05T23:05:03.138Z] GC before operation: completed in 142.937 ms, heap usage 283.816 MB -> 88.765 MB. [2025-11-05T23:05:05.463Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:05:07.813Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:05:10.250Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:05:12.589Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:05:14.303Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:05:15.476Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:05:17.196Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:05:18.897Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:05:18.898Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:05:19.234Z] The best model improves the baseline by 14.34%. [2025-11-05T23:05:19.234Z] Top recommended movies for user id 72: [2025-11-05T23:05:19.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:05:19.234Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:05:19.234Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:05:19.234Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:05:19.234Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:05:19.234Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16007.703 ms) ====== [2025-11-05T23:05:19.234Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-11-05T23:05:19.590Z] GC before operation: completed in 158.314 ms, heap usage 285.321 MB -> 88.985 MB. [2025-11-05T23:05:21.895Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:05:24.230Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:05:26.524Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:05:28.814Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:05:30.494Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:05:32.260Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:05:33.953Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:05:35.121Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:05:35.459Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:05:35.459Z] The best model improves the baseline by 14.34%. [2025-11-05T23:05:35.459Z] Top recommended movies for user id 72: [2025-11-05T23:05:35.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:05:35.459Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:05:35.459Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:05:35.459Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:05:35.459Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:05:35.459Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16204.394 ms) ====== [2025-11-05T23:05:35.459Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-11-05T23:05:35.794Z] GC before operation: completed in 147.396 ms, heap usage 285.511 MB -> 88.710 MB. [2025-11-05T23:05:38.102Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:05:40.408Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:05:42.763Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:05:45.111Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:05:46.837Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:05:48.021Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:05:49.750Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:05:51.467Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:05:51.467Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:05:51.467Z] The best model improves the baseline by 14.34%. [2025-11-05T23:05:51.467Z] Top recommended movies for user id 72: [2025-11-05T23:05:51.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:05:51.467Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:05:51.467Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:05:51.467Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:05:51.467Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:05:51.467Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15846.983 ms) ====== [2025-11-05T23:05:51.467Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-11-05T23:05:51.901Z] GC before operation: completed in 147.263 ms, heap usage 285.254 MB -> 88.951 MB. [2025-11-05T23:05:53.898Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:05:56.246Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:05:59.371Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:06:01.093Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:06:02.385Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:06:04.103Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:06:05.330Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:06:07.027Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:06:07.481Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:06:07.481Z] The best model improves the baseline by 14.34%. [2025-11-05T23:06:07.481Z] Top recommended movies for user id 72: [2025-11-05T23:06:07.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:06:07.481Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:06:07.481Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:06:07.481Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:06:07.481Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:06:07.481Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15604.200 ms) ====== [2025-11-05T23:06:07.481Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-11-05T23:06:07.481Z] GC before operation: completed in 143.285 ms, heap usage 283.536 MB -> 88.738 MB. [2025-11-05T23:06:09.777Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:06:12.064Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:06:15.053Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:06:17.398Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:06:18.573Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:06:20.262Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:06:21.438Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:06:23.121Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:06:23.121Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:06:23.456Z] The best model improves the baseline by 14.34%. [2025-11-05T23:06:23.456Z] Top recommended movies for user id 72: [2025-11-05T23:06:23.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:06:23.456Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:06:23.456Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:06:23.456Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:06:23.456Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:06:23.456Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15925.079 ms) ====== [2025-11-05T23:06:23.456Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-11-05T23:06:23.456Z] GC before operation: completed in 145.673 ms, heap usage 284.261 MB -> 88.994 MB. [2025-11-05T23:06:26.454Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:06:28.839Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:06:31.136Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:06:33.426Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:06:34.599Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:06:35.769Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:06:37.455Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:06:38.704Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:06:39.041Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:06:39.041Z] The best model improves the baseline by 14.34%. [2025-11-05T23:06:39.377Z] Top recommended movies for user id 72: [2025-11-05T23:06:39.377Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:06:39.377Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:06:39.377Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:06:39.377Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:06:39.377Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:06:39.377Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15645.416 ms) ====== [2025-11-05T23:06:39.377Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-11-05T23:06:39.377Z] GC before operation: completed in 145.027 ms, heap usage 283.606 MB -> 89.064 MB. [2025-11-05T23:06:41.663Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:06:44.043Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:06:46.335Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:06:48.621Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:06:50.306Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:06:51.474Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:06:53.152Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:06:54.315Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:06:54.653Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:06:54.654Z] The best model improves the baseline by 14.34%. [2025-11-05T23:06:54.654Z] Top recommended movies for user id 72: [2025-11-05T23:06:54.654Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:06:54.654Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:06:54.654Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:06:54.654Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:06:54.654Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:06:54.654Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15459.584 ms) ====== [2025-11-05T23:06:54.654Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-11-05T23:06:54.988Z] GC before operation: completed in 143.700 ms, heap usage 283.565 MB -> 88.831 MB. [2025-11-05T23:06:57.300Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:06:59.610Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:07:02.022Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:07:04.346Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:07:05.539Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:07:06.752Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:07:08.471Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:07:09.666Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:07:10.004Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:07:10.004Z] The best model improves the baseline by 14.34%. [2025-11-05T23:07:10.357Z] Top recommended movies for user id 72: [2025-11-05T23:07:10.357Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:07:10.357Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:07:10.357Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:07:10.357Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:07:10.357Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:07:10.357Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15226.306 ms) ====== [2025-11-05T23:07:10.357Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-11-05T23:07:10.357Z] GC before operation: completed in 147.125 ms, heap usage 284.358 MB -> 89.054 MB. [2025-11-05T23:07:12.658Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:07:14.943Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:07:17.287Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:07:19.568Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:07:20.734Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:07:22.524Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:07:23.691Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:07:25.378Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:07:25.378Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:07:25.378Z] The best model improves the baseline by 14.34%. [2025-11-05T23:07:25.726Z] Top recommended movies for user id 72: [2025-11-05T23:07:25.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:07:25.726Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:07:25.726Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:07:25.726Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:07:25.726Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:07:25.726Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15252.511 ms) ====== [2025-11-05T23:07:25.726Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-11-05T23:07:25.726Z] GC before operation: completed in 147.046 ms, heap usage 286.157 MB -> 88.922 MB. [2025-11-05T23:07:28.024Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:07:30.319Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:07:32.606Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:07:34.895Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:07:36.063Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:07:37.745Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:07:39.427Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:07:40.596Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:07:40.596Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:07:40.596Z] The best model improves the baseline by 14.34%. [2025-11-05T23:07:40.939Z] Top recommended movies for user id 72: [2025-11-05T23:07:40.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:07:40.939Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:07:40.939Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:07:40.939Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:07:40.939Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:07:40.939Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15136.758 ms) ====== [2025-11-05T23:07:40.939Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-11-05T23:07:40.939Z] GC before operation: completed in 145.904 ms, heap usage 282.455 MB -> 89.061 MB. [2025-11-05T23:07:43.239Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:07:45.632Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:07:48.629Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:07:50.317Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:07:51.531Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:07:53.238Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:07:54.403Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:07:56.085Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:07:56.086Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:07:56.086Z] The best model improves the baseline by 14.34%. [2025-11-05T23:07:56.420Z] Top recommended movies for user id 72: [2025-11-05T23:07:56.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:07:56.420Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:07:56.420Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:07:56.420Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:07:56.420Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:07:56.420Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15267.322 ms) ====== [2025-11-05T23:07:56.420Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-11-05T23:07:56.420Z] GC before operation: completed in 143.314 ms, heap usage 284.590 MB -> 88.842 MB. [2025-11-05T23:07:58.710Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:08:01.002Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:08:03.288Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:08:05.578Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:08:06.830Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:08:08.519Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:08:09.688Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:08:11.376Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:08:11.376Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:08:11.376Z] The best model improves the baseline by 14.34%. [2025-11-05T23:08:11.376Z] Top recommended movies for user id 72: [2025-11-05T23:08:11.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:08:11.376Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:08:11.376Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:08:11.376Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:08:11.376Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:08:11.376Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15104.396 ms) ====== [2025-11-05T23:08:11.376Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-11-05T23:08:11.712Z] GC before operation: completed in 145.952 ms, heap usage 286.406 MB -> 88.991 MB. [2025-11-05T23:08:14.004Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-11-05T23:08:16.296Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-11-05T23:08:18.587Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-11-05T23:08:20.873Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-11-05T23:08:22.041Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-11-05T23:08:23.729Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-11-05T23:08:24.898Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-11-05T23:08:26.064Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-11-05T23:08:26.400Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-11-05T23:08:26.400Z] The best model improves the baseline by 14.34%. [2025-11-05T23:08:26.735Z] Top recommended movies for user id 72: [2025-11-05T23:08:26.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-11-05T23:08:26.735Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-11-05T23:08:26.735Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-11-05T23:08:26.735Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-11-05T23:08:26.735Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-11-05T23:08:26.735Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14969.906 ms) ====== [2025-11-05T23:08:27.071Z] ----------------------------------- [2025-11-05T23:08:27.071Z] renaissance-movie-lens_0_PASSED [2025-11-05T23:08:27.071Z] ----------------------------------- [2025-11-05T23:08:27.071Z] [2025-11-05T23:08:27.071Z] TEST TEARDOWN: [2025-11-05T23:08:27.071Z] Nothing to be done for teardown. [2025-11-05T23:08:27.071Z] renaissance-movie-lens_0 Finish Time: Wed Nov 5 23:08:26 2025 Epoch Time (ms): 1762384106871