[2025-12-03T23:06:18.885Z] Running test renaissance-movie-lens_0 ... [2025-12-03T23:06:18.885Z] =============================================== [2025-12-03T23:06:18.885Z] renaissance-movie-lens_0 Start Time: Wed Dec 3 23:06:18 2025 Epoch Time (ms): 1764803178572 [2025-12-03T23:06:18.885Z] variation: NoOptions [2025-12-03T23:06:18.885Z] JVM_OPTIONS: [2025-12-03T23:06:18.885Z] { \ [2025-12-03T23:06:18.885Z] echo ""; echo "TEST SETUP:"; \ [2025-12-03T23:06:18.885Z] echo "Nothing to be done for setup."; \ [2025-12-03T23:06:18.885Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17648010368615/renaissance-movie-lens_0"; \ [2025-12-03T23:06:18.885Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17648010368615/renaissance-movie-lens_0"; \ [2025-12-03T23:06:18.885Z] echo ""; echo "TESTING:"; \ [2025-12-03T23:06:18.885Z] "/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_17648010368615/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-03T23:06:18.885Z] 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_17648010368615/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-03T23:06:18.885Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-03T23:06:18.885Z] echo "Nothing to be done for teardown."; \ [2025-12-03T23:06:18.885Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17648010368615/TestTargetResult"; [2025-12-03T23:06:18.885Z] [2025-12-03T23:06:18.885Z] TEST SETUP: [2025-12-03T23:06:18.885Z] Nothing to be done for setup. [2025-12-03T23:06:18.885Z] [2025-12-03T23:06:18.885Z] TESTING: [2025-12-03T23:06:24.949Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-03T23:06:33.825Z] 23:06:32.390 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. [2025-12-03T23:06:36.128Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-03T23:06:36.798Z] Training: 60056, validation: 20285, test: 19854 [2025-12-03T23:06:36.798Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-03T23:06:37.453Z] GC before operation: completed in 153.809 ms, heap usage 190.174 MB -> 75.274 MB. [2025-12-03T23:06:46.332Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:06:51.678Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:06:57.689Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:07:01.622Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:07:04.543Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:07:07.468Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:07:10.507Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:07:12.598Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:07:13.243Z] 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. [2025-12-03T23:07:13.243Z] The best model improves the baseline by 14.34%. [2025-12-03T23:07:13.887Z] Top recommended movies for user id 72: [2025-12-03T23:07:13.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:07:13.887Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:07:13.887Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:07:13.887Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:07:13.887Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:07:13.887Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (36407.542 ms) ====== [2025-12-03T23:07:13.887Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-03T23:07:13.887Z] GC before operation: completed in 153.233 ms, heap usage 156.268 MB -> 89.168 MB. [2025-12-03T23:07:18.740Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:07:23.617Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:07:27.448Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:07:30.403Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:07:32.134Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:07:34.227Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:07:36.345Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:07:37.729Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:07:38.372Z] 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. [2025-12-03T23:07:38.372Z] The best model improves the baseline by 14.34%. [2025-12-03T23:07:38.372Z] Top recommended movies for user id 72: [2025-12-03T23:07:38.372Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:07:38.372Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:07:38.372Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:07:38.372Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:07:38.372Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:07:38.372Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24705.630 ms) ====== [2025-12-03T23:07:38.372Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-03T23:07:38.372Z] GC before operation: completed in 146.192 ms, heap usage 176.280 MB -> 93.072 MB. [2025-12-03T23:07:41.291Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:07:45.114Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:07:48.036Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:07:51.039Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:07:52.370Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:07:54.477Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:07:56.572Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:07:57.907Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:07:58.551Z] 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. [2025-12-03T23:07:58.551Z] The best model improves the baseline by 14.34%. [2025-12-03T23:07:58.551Z] Top recommended movies for user id 72: [2025-12-03T23:07:58.551Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:07:58.551Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:07:58.551Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:07:58.551Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:07:58.551Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:07:58.551Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20165.654 ms) ====== [2025-12-03T23:07:58.551Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-03T23:07:59.195Z] GC before operation: completed in 149.214 ms, heap usage 203.228 MB -> 94.846 MB. [2025-12-03T23:08:01.289Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:08:04.223Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:08:07.553Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:08:10.547Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:08:12.653Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:08:13.990Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:08:16.111Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:08:17.447Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:08:18.096Z] 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. [2025-12-03T23:08:18.096Z] The best model improves the baseline by 14.34%. [2025-12-03T23:08:18.096Z] Top recommended movies for user id 72: [2025-12-03T23:08:18.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:08:18.096Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:08:18.096Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:08:18.096Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:08:18.096Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:08:18.096Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19234.899 ms) ====== [2025-12-03T23:08:18.096Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-03T23:08:18.096Z] GC before operation: completed in 151.283 ms, heap usage 120.286 MB -> 91.108 MB. [2025-12-03T23:08:21.125Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:08:24.042Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:08:26.965Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:08:29.880Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:08:31.217Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:08:33.310Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:08:34.650Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:08:36.802Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:08:36.802Z] 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. [2025-12-03T23:08:36.802Z] The best model improves the baseline by 14.34%. [2025-12-03T23:08:36.802Z] Top recommended movies for user id 72: [2025-12-03T23:08:36.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:08:36.802Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:08:36.802Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:08:36.802Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:08:36.802Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:08:36.802Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (18728.910 ms) ====== [2025-12-03T23:08:36.802Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-03T23:08:37.448Z] GC before operation: completed in 139.468 ms, heap usage 194.347 MB -> 89.424 MB. [2025-12-03T23:08:40.370Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:08:42.465Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:08:45.467Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:08:48.451Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:08:50.541Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:08:51.882Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:08:53.979Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:08:55.322Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:08:55.966Z] 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. [2025-12-03T23:08:55.966Z] The best model improves the baseline by 14.34%. [2025-12-03T23:08:55.966Z] Top recommended movies for user id 72: [2025-12-03T23:08:55.966Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:08:55.966Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:08:55.966Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:08:55.966Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:08:55.966Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:08:55.966Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18820.263 ms) ====== [2025-12-03T23:08:55.966Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-03T23:08:55.966Z] GC before operation: completed in 143.384 ms, heap usage 217.394 MB -> 94.312 MB. [2025-12-03T23:08:58.887Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:09:01.867Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:09:04.812Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:09:06.907Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:09:09.094Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:09:11.189Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:09:12.530Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:09:14.625Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:09:14.625Z] 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. [2025-12-03T23:09:14.625Z] The best model improves the baseline by 14.34%. [2025-12-03T23:09:15.269Z] Top recommended movies for user id 72: [2025-12-03T23:09:15.269Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:09:15.269Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:09:15.269Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:09:15.269Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:09:15.269Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:09:15.269Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18901.055 ms) ====== [2025-12-03T23:09:15.269Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-03T23:09:15.269Z] GC before operation: completed in 145.170 ms, heap usage 153.746 MB -> 90.928 MB. [2025-12-03T23:09:18.394Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:09:20.492Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:09:23.414Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:09:26.339Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:09:27.682Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:09:29.779Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:09:31.116Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:09:33.300Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:09:33.300Z] 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. [2025-12-03T23:09:33.300Z] The best model improves the baseline by 14.34%. [2025-12-03T23:09:33.300Z] Top recommended movies for user id 72: [2025-12-03T23:09:33.300Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:09:33.300Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:09:33.300Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:09:33.300Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:09:33.300Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:09:33.300Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (18361.155 ms) ====== [2025-12-03T23:09:33.300Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-03T23:09:33.944Z] GC before operation: completed in 140.062 ms, heap usage 149.511 MB -> 92.852 MB. [2025-12-03T23:09:36.866Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:09:39.058Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:09:41.986Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:09:44.904Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:09:46.255Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:09:48.370Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:09:49.799Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:09:51.137Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:09:51.785Z] 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. [2025-12-03T23:09:51.785Z] The best model improves the baseline by 14.34%. [2025-12-03T23:09:51.785Z] Top recommended movies for user id 72: [2025-12-03T23:09:51.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:09:51.785Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:09:51.785Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:09:51.785Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:09:51.785Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:09:51.785Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18201.920 ms) ====== [2025-12-03T23:09:51.785Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-03T23:09:51.785Z] GC before operation: completed in 142.592 ms, heap usage 183.741 MB -> 88.721 MB. [2025-12-03T23:09:56.977Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:10:00.808Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:10:02.943Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:10:05.863Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:10:07.222Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:10:08.560Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:10:10.652Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:10:11.991Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:10:11.991Z] 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. [2025-12-03T23:10:11.991Z] The best model improves the baseline by 14.34%. [2025-12-03T23:10:11.991Z] Top recommended movies for user id 72: [2025-12-03T23:10:11.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:10:11.991Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:10:11.991Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:10:11.991Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:10:11.991Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:10:11.991Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20247.693 ms) ====== [2025-12-03T23:10:11.991Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-03T23:10:12.632Z] GC before operation: completed in 143.292 ms, heap usage 364.604 MB -> 90.447 MB. [2025-12-03T23:10:14.738Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:10:17.730Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:10:20.712Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:10:22.848Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:10:24.940Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:10:26.467Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:10:27.808Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:10:29.897Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:10:29.897Z] 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. [2025-12-03T23:10:29.897Z] The best model improves the baseline by 14.34%. [2025-12-03T23:10:29.897Z] Top recommended movies for user id 72: [2025-12-03T23:10:29.897Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:10:29.897Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:10:29.897Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:10:29.897Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:10:29.897Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:10:29.897Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17690.198 ms) ====== [2025-12-03T23:10:29.897Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-03T23:10:30.542Z] GC before operation: completed in 145.744 ms, heap usage 163.389 MB -> 96.454 MB. [2025-12-03T23:10:32.647Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:10:35.564Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:10:38.541Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:10:41.456Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:10:42.888Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:10:44.227Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:10:46.321Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:10:47.709Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:10:48.387Z] 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. [2025-12-03T23:10:48.387Z] The best model improves the baseline by 14.34%. [2025-12-03T23:10:48.387Z] Top recommended movies for user id 72: [2025-12-03T23:10:48.387Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:10:48.387Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:10:48.387Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:10:48.387Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:10:48.387Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:10:48.387Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17954.133 ms) ====== [2025-12-03T23:10:48.387Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-03T23:10:48.387Z] GC before operation: completed in 146.371 ms, heap usage 166.560 MB -> 93.905 MB. [2025-12-03T23:10:51.379Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:10:53.485Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:10:56.404Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:10:59.323Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:11:00.664Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:11:02.024Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:11:04.213Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:11:05.552Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:11:06.492Z] 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. [2025-12-03T23:11:06.492Z] The best model improves the baseline by 14.34%. [2025-12-03T23:11:06.492Z] Top recommended movies for user id 72: [2025-12-03T23:11:06.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:11:06.492Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:11:06.492Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:11:06.492Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:11:06.492Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:11:06.492Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17845.836 ms) ====== [2025-12-03T23:11:06.492Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-03T23:11:06.492Z] GC before operation: completed in 141.209 ms, heap usage 199.027 MB -> 88.975 MB. [2025-12-03T23:11:09.419Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:11:11.513Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:11:14.432Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:11:17.393Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:11:18.734Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:11:20.076Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:11:22.233Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:11:23.575Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:11:23.575Z] 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. [2025-12-03T23:11:23.575Z] The best model improves the baseline by 14.34%. [2025-12-03T23:11:24.219Z] Top recommended movies for user id 72: [2025-12-03T23:11:24.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:11:24.219Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:11:24.219Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:11:24.219Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:11:24.219Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:11:24.219Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17606.953 ms) ====== [2025-12-03T23:11:24.219Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-03T23:11:24.219Z] GC before operation: completed in 145.424 ms, heap usage 206.841 MB -> 92.930 MB. [2025-12-03T23:11:26.311Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:11:29.225Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:11:32.139Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:11:34.228Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:11:36.376Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:11:37.814Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:11:39.152Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:11:41.240Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:11:41.240Z] 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. [2025-12-03T23:11:41.240Z] The best model improves the baseline by 14.34%. [2025-12-03T23:11:41.240Z] Top recommended movies for user id 72: [2025-12-03T23:11:41.240Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:11:41.240Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:11:41.240Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:11:41.240Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:11:41.240Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:11:41.240Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17247.325 ms) ====== [2025-12-03T23:11:41.240Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-03T23:11:41.240Z] GC before operation: completed in 141.330 ms, heap usage 184.255 MB -> 88.981 MB. [2025-12-03T23:11:44.156Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:11:47.391Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:11:49.485Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:11:52.406Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:11:53.744Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:11:55.082Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:11:57.174Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:11:58.514Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:11:59.155Z] 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. [2025-12-03T23:11:59.155Z] The best model improves the baseline by 14.34%. [2025-12-03T23:11:59.155Z] Top recommended movies for user id 72: [2025-12-03T23:11:59.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:11:59.155Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:11:59.155Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:11:59.155Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:11:59.155Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:11:59.155Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17659.186 ms) ====== [2025-12-03T23:11:59.155Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-03T23:11:59.155Z] GC before operation: completed in 140.649 ms, heap usage 210.080 MB -> 94.416 MB. [2025-12-03T23:12:02.125Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:12:04.237Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:12:07.160Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:12:10.092Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:12:12.182Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:12:13.528Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:12:15.664Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:12:17.331Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:12:17.331Z] 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. [2025-12-03T23:12:17.331Z] The best model improves the baseline by 14.34%. [2025-12-03T23:12:17.973Z] Top recommended movies for user id 72: [2025-12-03T23:12:17.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:12:17.973Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:12:17.973Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:12:17.973Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:12:17.973Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:12:17.973Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18422.897 ms) ====== [2025-12-03T23:12:17.973Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-03T23:12:17.973Z] GC before operation: completed in 139.875 ms, heap usage 374.408 MB -> 92.453 MB. [2025-12-03T23:12:21.813Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:12:25.648Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:12:28.563Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:12:30.739Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:12:32.839Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:12:34.189Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:12:35.627Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:12:37.718Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:12:37.718Z] 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. [2025-12-03T23:12:37.718Z] The best model improves the baseline by 14.34%. [2025-12-03T23:12:38.363Z] Top recommended movies for user id 72: [2025-12-03T23:12:38.363Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:12:38.363Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:12:38.363Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:12:38.363Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:12:38.363Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:12:38.363Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20258.212 ms) ====== [2025-12-03T23:12:38.363Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-03T23:12:38.363Z] GC before operation: completed in 137.783 ms, heap usage 210.253 MB -> 90.901 MB. [2025-12-03T23:12:42.210Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:12:44.300Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:12:47.221Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:12:50.139Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:12:51.485Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:12:52.820Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:12:54.155Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:12:56.646Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:12:56.646Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-03T23:12:56.646Z] The best model improves the baseline by 14.34%. [2025-12-03T23:12:56.646Z] Top recommended movies for user id 72: [2025-12-03T23:12:56.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:12:56.646Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:12:56.646Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:12:56.646Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:12:56.646Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:12:56.646Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18174.734 ms) ====== [2025-12-03T23:12:56.646Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-03T23:12:56.646Z] GC before operation: completed in 142.289 ms, heap usage 178.630 MB -> 94.664 MB. [2025-12-03T23:12:58.743Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-03T23:13:01.670Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-03T23:13:04.639Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-03T23:13:06.732Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-03T23:13:08.068Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-03T23:13:10.228Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-03T23:13:11.565Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-03T23:13:12.905Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-03T23:13:13.548Z] 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. [2025-12-03T23:13:13.548Z] The best model improves the baseline by 14.34%. [2025-12-03T23:13:13.548Z] Top recommended movies for user id 72: [2025-12-03T23:13:13.548Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-03T23:13:13.548Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-03T23:13:13.548Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-03T23:13:13.548Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-03T23:13:13.548Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-03T23:13:13.548Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16960.405 ms) ====== [2025-12-03T23:13:14.257Z] ----------------------------------- [2025-12-03T23:13:14.257Z] renaissance-movie-lens_0_PASSED [2025-12-03T23:13:14.257Z] ----------------------------------- [2025-12-03T23:13:14.257Z] [2025-12-03T23:13:14.257Z] TEST TEARDOWN: [2025-12-03T23:13:14.257Z] Nothing to be done for teardown. [2025-12-03T23:13:14.257Z] renaissance-movie-lens_0 Finish Time: Wed Dec 3 23:13:13 2025 Epoch Time (ms): 1764803593585