[2025-12-16T09:24:32.241Z] Running test renaissance-movie-lens_0 ... [2025-12-16T09:24:32.556Z] =============================================== [2025-12-16T09:24:32.556Z] renaissance-movie-lens_0 Start Time: Tue Dec 16 09:24:32 2025 Epoch Time (ms): 1765877072397 [2025-12-16T09:24:32.556Z] variation: NoOptions [2025-12-16T09:24:32.913Z] JVM_OPTIONS: [2025-12-16T09:24:32.913Z] { \ [2025-12-16T09:24:32.913Z] echo ""; echo "TEST SETUP:"; \ [2025-12-16T09:24:32.913Z] echo "Nothing to be done for setup."; \ [2025-12-16T09:24:32.914Z] mkdir -p "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17658743907010\\renaissance-movie-lens_0"; \ [2025-12-16T09:24:32.914Z] cd "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17658743907010\\renaissance-movie-lens_0"; \ [2025-12-16T09:24:32.914Z] echo ""; echo "TESTING:"; \ [2025-12-16T09:24:32.914Z] "c:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17658743907010\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-12-16T09:24:32.914Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17658743907010\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-16T09:24:32.914Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-16T09:24:32.914Z] echo "Nothing to be done for teardown."; \ [2025-12-16T09:24:32.914Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17658743907010\\TestTargetResult"; [2025-12-16T09:24:32.914Z] [2025-12-16T09:24:32.914Z] TEST SETUP: [2025-12-16T09:24:32.914Z] Nothing to be done for setup. [2025-12-16T09:24:32.914Z] [2025-12-16T09:24:32.914Z] TESTING: [2025-12-16T09:24:34.052Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-12-16T09:24:34.052Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/C:/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_windows/aqa-tests/TKG/output_17658743907010/renaissance-movie-lens_0/launcher-092432-7014098048914840245/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-12-16T09:24:34.052Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-12-16T09:24:34.052Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-12-16T09:24:49.829Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-16T09:24:59.884Z] 09:24:58.838 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. [2025-12-16T09:25:03.072Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-16T09:25:03.904Z] Training: 60056, validation: 20285, test: 19854 [2025-12-16T09:25:03.904Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-16T09:25:03.904Z] GC before operation: completed in 206.162 ms, heap usage 230.445 MB -> 76.297 MB. [2025-12-16T09:25:18.557Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:25:28.076Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:25:35.869Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:25:43.528Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:25:47.631Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:25:52.025Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:25:57.119Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:26:02.374Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:26:02.374Z] 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. [2025-12-16T09:26:03.233Z] The best model improves the baseline by 14.34%. [2025-12-16T09:26:03.233Z] Top recommended movies for user id 72: [2025-12-16T09:26:03.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:26:03.233Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:26:03.233Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:26:03.233Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:26:03.233Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:26:03.233Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (58773.366 ms) ====== [2025-12-16T09:26:03.233Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-16T09:26:03.633Z] GC before operation: completed in 260.293 ms, heap usage 331.325 MB -> 89.903 MB. [2025-12-16T09:26:11.146Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:26:18.809Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:26:26.396Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:26:35.644Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:26:38.736Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:26:43.996Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:26:48.392Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:26:53.806Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:26:53.806Z] 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. [2025-12-16T09:26:53.806Z] The best model improves the baseline by 14.34%. [2025-12-16T09:26:54.591Z] Top recommended movies for user id 72: [2025-12-16T09:26:54.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:26:54.591Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:26:54.591Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:26:54.591Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:26:54.591Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:26:54.591Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (51134.137 ms) ====== [2025-12-16T09:26:54.591Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-16T09:26:54.962Z] GC before operation: completed in 241.906 ms, heap usage 269.362 MB -> 88.149 MB. [2025-12-16T09:27:03.650Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:27:11.045Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:27:18.879Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:27:25.239Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:27:30.099Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:27:35.155Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:27:39.003Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:27:43.974Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:27:44.863Z] 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. [2025-12-16T09:27:44.863Z] The best model improves the baseline by 14.34%. [2025-12-16T09:27:44.863Z] Top recommended movies for user id 72: [2025-12-16T09:27:44.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:27:44.863Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:27:44.863Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:27:44.863Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:27:44.863Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:27:44.863Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (50462.388 ms) ====== [2025-12-16T09:27:44.863Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-16T09:27:45.433Z] GC before operation: completed in 228.910 ms, heap usage 269.881 MB -> 88.804 MB. [2025-12-16T09:27:53.189Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:28:00.564Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:28:09.910Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:28:17.626Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:28:20.539Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:28:25.558Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:28:29.411Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:28:34.411Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:28:34.412Z] 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. [2025-12-16T09:28:34.412Z] The best model improves the baseline by 14.34%. [2025-12-16T09:28:35.064Z] Top recommended movies for user id 72: [2025-12-16T09:28:35.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:28:35.064Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:28:35.064Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:28:35.064Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:28:35.064Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:28:35.064Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (49594.053 ms) ====== [2025-12-16T09:28:35.064Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-16T09:28:35.064Z] GC before operation: completed in 237.322 ms, heap usage 267.868 MB -> 89.117 MB. [2025-12-16T09:28:42.785Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:28:50.106Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:28:57.356Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:29:03.381Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:29:06.410Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:29:10.226Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:29:14.045Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:29:17.800Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:29:18.559Z] 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. [2025-12-16T09:29:18.559Z] The best model improves the baseline by 14.34%. [2025-12-16T09:29:19.193Z] Top recommended movies for user id 72: [2025-12-16T09:29:19.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:29:19.193Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:29:19.193Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:29:19.193Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:29:19.193Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:29:19.193Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (43902.347 ms) ====== [2025-12-16T09:29:19.193Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-16T09:29:19.193Z] GC before operation: completed in 225.842 ms, heap usage 632.671 MB -> 93.093 MB. [2025-12-16T09:29:28.033Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:29:33.978Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:29:39.870Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:29:45.705Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:29:50.399Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:29:53.403Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:29:57.242Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:30:01.157Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:30:01.522Z] 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. [2025-12-16T09:30:02.457Z] The best model improves the baseline by 14.34%. [2025-12-16T09:30:02.457Z] Top recommended movies for user id 72: [2025-12-16T09:30:02.457Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:30:02.457Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:30:02.457Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:30:02.457Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:30:02.457Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:30:02.457Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (42896.779 ms) ====== [2025-12-16T09:30:02.457Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-16T09:30:02.827Z] GC before operation: completed in 243.025 ms, heap usage 231.569 MB -> 91.477 MB. [2025-12-16T09:30:10.005Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:30:15.922Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:30:23.298Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:30:29.331Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:30:33.820Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:30:37.837Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:30:42.577Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:30:46.431Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:30:46.770Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-16T09:30:46.770Z] The best model improves the baseline by 14.34%. [2025-12-16T09:30:47.164Z] Top recommended movies for user id 72: [2025-12-16T09:30:47.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:30:47.164Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:30:47.164Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:30:47.164Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:30:47.164Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:30:47.164Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (44979.813 ms) ====== [2025-12-16T09:30:47.164Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-16T09:30:47.802Z] GC before operation: completed in 217.078 ms, heap usage 410.235 MB -> 89.598 MB. [2025-12-16T09:30:55.890Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:31:01.794Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:31:07.849Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:31:14.137Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:31:18.101Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:31:23.016Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:31:26.019Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:31:30.277Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:31:30.277Z] 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. [2025-12-16T09:31:30.277Z] The best model improves the baseline by 14.34%. [2025-12-16T09:31:30.990Z] Top recommended movies for user id 72: [2025-12-16T09:31:30.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:31:30.990Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:31:30.990Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:31:30.990Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:31:30.990Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:31:30.990Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (43220.292 ms) ====== [2025-12-16T09:31:30.990Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-16T09:31:31.328Z] GC before operation: completed in 209.237 ms, heap usage 167.474 MB -> 89.399 MB. [2025-12-16T09:31:37.265Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:31:43.809Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:31:53.073Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:32:00.684Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:32:00.684Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:32:08.070Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:32:08.427Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:32:12.202Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:32:13.033Z] 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. [2025-12-16T09:32:13.033Z] The best model improves the baseline by 14.34%. [2025-12-16T09:32:13.558Z] Top recommended movies for user id 72: [2025-12-16T09:32:13.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:32:13.558Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:32:13.558Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:32:13.558Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:32:13.558Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:32:13.558Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (42401.713 ms) ====== [2025-12-16T09:32:13.558Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-16T09:32:13.558Z] GC before operation: completed in 225.037 ms, heap usage 143.651 MB -> 89.428 MB. [2025-12-16T09:32:20.837Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:32:26.832Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:32:34.097Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:32:40.012Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:32:43.125Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:32:47.011Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:32:50.911Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:32:54.745Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:32:55.094Z] 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. [2025-12-16T09:32:55.094Z] The best model improves the baseline by 14.34%. [2025-12-16T09:32:55.734Z] Top recommended movies for user id 72: [2025-12-16T09:32:55.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:32:55.734Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:32:55.734Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:32:55.734Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:32:55.734Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:32:55.734Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (41967.490 ms) ====== [2025-12-16T09:32:55.734Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-16T09:32:55.734Z] GC before operation: completed in 183.469 ms, heap usage 224.303 MB -> 89.690 MB. [2025-12-16T09:33:03.159Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:33:09.101Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:33:16.421Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:33:22.303Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:33:25.236Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:33:29.245Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:33:33.147Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:33:37.135Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:33:37.997Z] 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. [2025-12-16T09:33:37.997Z] The best model improves the baseline by 14.34%. [2025-12-16T09:33:37.997Z] Top recommended movies for user id 72: [2025-12-16T09:33:37.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:33:37.997Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:33:37.997Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:33:37.997Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:33:37.997Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:33:37.997Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (42424.684 ms) ====== [2025-12-16T09:33:37.997Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-16T09:33:38.617Z] GC before operation: completed in 190.110 ms, heap usage 219.509 MB -> 89.445 MB. [2025-12-16T09:33:45.995Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:33:53.244Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:33:59.615Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:34:07.055Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:34:11.937Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:34:16.049Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:34:20.120Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:34:24.843Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:34:25.687Z] 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. [2025-12-16T09:34:25.687Z] The best model improves the baseline by 14.34%. [2025-12-16T09:34:25.687Z] Top recommended movies for user id 72: [2025-12-16T09:34:25.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:34:25.687Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:34:25.687Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:34:25.687Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:34:25.687Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:34:25.687Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (47504.498 ms) ====== [2025-12-16T09:34:25.687Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-16T09:34:26.259Z] GC before operation: completed in 185.453 ms, heap usage 270.298 MB -> 89.650 MB. [2025-12-16T09:34:33.563Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:34:39.616Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:34:47.014Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:34:52.968Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:34:55.936Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:35:00.091Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:35:03.926Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:35:07.738Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:35:08.671Z] 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. [2025-12-16T09:35:08.671Z] The best model improves the baseline by 14.34%. [2025-12-16T09:35:08.671Z] Top recommended movies for user id 72: [2025-12-16T09:35:08.671Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:35:08.671Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:35:08.671Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:35:08.671Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:35:08.671Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:35:08.671Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (42338.788 ms) ====== [2025-12-16T09:35:08.671Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-16T09:35:09.054Z] GC before operation: completed in 207.858 ms, heap usage 543.880 MB -> 93.410 MB. [2025-12-16T09:35:16.377Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:35:22.241Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:35:28.330Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:35:35.579Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:35:39.323Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:35:43.082Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:35:46.826Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:35:50.561Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:35:50.561Z] 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. [2025-12-16T09:35:50.561Z] The best model improves the baseline by 14.34%. [2025-12-16T09:35:51.301Z] Top recommended movies for user id 72: [2025-12-16T09:35:51.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:35:51.301Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:35:51.301Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:35:51.301Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:35:51.301Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:35:51.301Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (42435.742 ms) ====== [2025-12-16T09:35:51.301Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-16T09:35:51.666Z] GC before operation: completed in 199.211 ms, heap usage 353.246 MB -> 89.729 MB. [2025-12-16T09:35:58.934Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:36:04.853Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:36:10.748Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:36:16.700Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:36:20.454Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:36:24.419Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:36:28.225Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:36:31.993Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:36:31.993Z] 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. [2025-12-16T09:36:31.994Z] The best model improves the baseline by 14.34%. [2025-12-16T09:36:32.615Z] Top recommended movies for user id 72: [2025-12-16T09:36:32.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:36:32.616Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:36:32.616Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:36:32.616Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:36:32.616Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:36:32.616Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (41234.750 ms) ====== [2025-12-16T09:36:32.616Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-16T09:36:32.616Z] GC before operation: completed in 203.752 ms, heap usage 215.074 MB -> 89.620 MB. [2025-12-16T09:36:39.972Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:36:46.041Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:36:53.226Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:36:59.124Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:37:02.097Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:37:05.909Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:37:10.112Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:37:13.849Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:37:14.186Z] 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. [2025-12-16T09:37:14.186Z] The best model improves the baseline by 14.34%. [2025-12-16T09:37:14.861Z] Top recommended movies for user id 72: [2025-12-16T09:37:14.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:37:14.861Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:37:14.861Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:37:14.861Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:37:14.861Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:37:14.861Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (41940.354 ms) ====== [2025-12-16T09:37:14.861Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-16T09:37:14.861Z] GC before operation: completed in 213.972 ms, heap usage 166.332 MB -> 89.442 MB. [2025-12-16T09:37:22.155Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:37:29.410Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:37:35.296Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:37:41.135Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:37:44.935Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:37:48.684Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:37:52.490Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:37:56.287Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:37:56.651Z] 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. [2025-12-16T09:37:56.651Z] The best model improves the baseline by 14.34%. [2025-12-16T09:37:56.651Z] Top recommended movies for user id 72: [2025-12-16T09:37:56.651Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:37:56.651Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:37:56.651Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:37:56.651Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:37:56.651Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:37:56.651Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (42156.155 ms) ====== [2025-12-16T09:37:56.651Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-16T09:37:57.184Z] GC before operation: completed in 226.027 ms, heap usage 118.542 MB -> 89.490 MB. [2025-12-16T09:38:04.387Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:38:11.714Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:38:17.803Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:38:25.021Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:38:27.955Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:38:31.732Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:38:35.523Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:38:39.308Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:38:39.309Z] 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. [2025-12-16T09:38:39.309Z] The best model improves the baseline by 14.34%. [2025-12-16T09:38:39.933Z] Top recommended movies for user id 72: [2025-12-16T09:38:39.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:38:39.933Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:38:39.933Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:38:39.933Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:38:39.933Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:38:39.933Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (42577.122 ms) ====== [2025-12-16T09:38:39.933Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-16T09:38:39.933Z] GC before operation: completed in 186.828 ms, heap usage 181.983 MB -> 89.421 MB. [2025-12-16T09:38:47.159Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:38:53.084Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:38:58.969Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:39:06.261Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:39:09.372Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:39:13.149Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:39:16.894Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:39:20.636Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:39:21.005Z] 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. [2025-12-16T09:39:21.446Z] The best model improves the baseline by 14.34%. [2025-12-16T09:39:21.446Z] Top recommended movies for user id 72: [2025-12-16T09:39:21.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:39:21.446Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:39:21.446Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:39:21.446Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:39:21.446Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:39:21.446Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (41607.405 ms) ====== [2025-12-16T09:39:21.446Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-16T09:39:22.037Z] GC before operation: completed in 214.196 ms, heap usage 115.679 MB -> 89.388 MB. [2025-12-16T09:39:29.319Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-16T09:39:35.310Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-16T09:39:41.351Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-16T09:39:47.388Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-16T09:39:51.268Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-16T09:39:55.078Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-16T09:40:00.585Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-16T09:40:02.306Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-16T09:40:02.713Z] 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. [2025-12-16T09:40:02.713Z] The best model improves the baseline by 14.34%. [2025-12-16T09:40:03.060Z] Top recommended movies for user id 72: [2025-12-16T09:40:03.060Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-16T09:40:03.060Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-16T09:40:03.060Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-16T09:40:03.060Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-16T09:40:03.060Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-16T09:40:03.060Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (41409.040 ms) ====== [2025-12-16T09:40:03.413Z] ----------------------------------- [2025-12-16T09:40:03.413Z] renaissance-movie-lens_0_PASSED [2025-12-16T09:40:03.413Z] ----------------------------------- [2025-12-16T09:40:04.113Z] [2025-12-16T09:40:04.113Z] TEST TEARDOWN: [2025-12-16T09:40:04.113Z] Nothing to be done for teardown. [2025-12-16T09:40:04.113Z] renaissance-movie-lens_0 Finish Time: Tue Dec 16 09:40:03 2025 Epoch Time (ms): 1765878003861