renaissance-movie-lens_0
[2025-08-13T20:07:09.621Z] Running test renaissance-movie-lens_0 ...
[2025-08-13T20:07:09.621Z] ===============================================
[2025-08-13T20:07:09.621Z] renaissance-movie-lens_0 Start Time: Wed Aug 13 16:07:09 2025 Epoch Time (ms): 1755115629267
[2025-08-13T20:07:09.621Z] variation: NoOptions
[2025-08-13T20:07:09.621Z] JVM_OPTIONS:
[2025-08-13T20:07:09.621Z] { \
[2025-08-13T20:07:09.621Z] echo ""; echo "TEST SETUP:"; \
[2025-08-13T20:07:09.621Z] echo "Nothing to be done for setup."; \
[2025-08-13T20:07:09.621Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17551149705909/renaissance-movie-lens_0"; \
[2025-08-13T20:07:09.621Z] cd "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17551149705909/renaissance-movie-lens_0"; \
[2025-08-13T20:07:09.621Z] echo ""; echo "TESTING:"; \
[2025-08-13T20:07:09.621Z] "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//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 "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17551149705909/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-13T20:07:09.621Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17551149705909/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-13T20:07:09.621Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-13T20:07:09.621Z] echo "Nothing to be done for teardown."; \
[2025-08-13T20:07:09.621Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk21_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17551149705909/TestTargetResult";
[2025-08-13T20:07:09.621Z]
[2025-08-13T20:07:09.621Z] TEST SETUP:
[2025-08-13T20:07:09.621Z] Nothing to be done for setup.
[2025-08-13T20:07:09.621Z]
[2025-08-13T20:07:09.621Z] TESTING:
[2025-08-13T20:07:12.834Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads.
[2025-08-13T20:07:15.936Z] 16:07:15.557 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB.
[2025-08-13T20:07:17.221Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-13T20:07:17.221Z] Training: 60056, validation: 20285, test: 19854
[2025-08-13T20:07:17.221Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-13T20:07:17.221Z] GC before operation: completed in 58.325 ms, heap usage 322.573 MB -> 76.063 MB.
[2025-08-13T20:07:20.351Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:07:22.107Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:07:24.141Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:07:25.943Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:07:27.169Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:07:27.956Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:07:29.198Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:07:30.449Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:07:30.449Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:07:30.449Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:07:30.449Z] Top recommended movies for user id 72:
[2025-08-13T20:07:30.449Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:07:30.449Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:07:30.449Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:07:30.449Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:07:30.449Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:07:30.449Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (13302.482 ms) ======
[2025-08-13T20:07:30.449Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-13T20:07:30.803Z] GC before operation: completed in 95.567 ms, heap usage 290.155 MB -> 93.710 MB.
[2025-08-13T20:07:32.561Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:07:34.323Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:07:36.136Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:07:37.392Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:07:38.651Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:07:39.420Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:07:40.658Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:07:41.417Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:07:41.768Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:07:41.768Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:07:41.768Z] Top recommended movies for user id 72:
[2025-08-13T20:07:41.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:07:41.768Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:07:41.768Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:07:41.768Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:07:41.768Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:07:41.768Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (11174.889 ms) ======
[2025-08-13T20:07:41.768Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-13T20:07:41.768Z] GC before operation: completed in 72.877 ms, heap usage 324.154 MB -> 88.597 MB.
[2025-08-13T20:07:43.554Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:07:45.384Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:07:47.166Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:07:48.406Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:07:49.639Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:07:50.438Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:07:51.664Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:07:52.522Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:07:52.880Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:07:52.880Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:07:52.880Z] Top recommended movies for user id 72:
[2025-08-13T20:07:52.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:07:52.880Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:07:52.880Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:07:52.880Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:07:52.880Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:07:52.880Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10919.134 ms) ======
[2025-08-13T20:07:52.880Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-13T20:07:52.880Z] GC before operation: completed in 75.107 ms, heap usage 418.190 MB -> 89.423 MB.
[2025-08-13T20:07:54.789Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:07:56.076Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:07:57.871Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:07:59.157Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:07:59.955Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:08:01.207Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:08:01.996Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:08:02.821Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:08:03.185Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:08:03.185Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:08:03.185Z] Top recommended movies for user id 72:
[2025-08-13T20:08:03.185Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:08:03.185Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:08:03.185Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:08:03.185Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:08:03.185Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:08:03.185Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (10231.598 ms) ======
[2025-08-13T20:08:03.185Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-13T20:08:03.185Z] GC before operation: completed in 63.042 ms, heap usage 189.408 MB -> 89.418 MB.
[2025-08-13T20:08:05.034Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:08:06.268Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:08:08.115Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:08:09.897Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:08:10.660Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:08:11.443Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:08:12.717Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:08:13.531Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:08:13.531Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:08:13.531Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:08:13.915Z] Top recommended movies for user id 72:
[2025-08-13T20:08:13.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:08:13.915Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:08:13.915Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:08:13.915Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:08:13.915Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:08:13.915Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (10591.701 ms) ======
[2025-08-13T20:08:13.915Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-13T20:08:13.915Z] GC before operation: completed in 74.130 ms, heap usage 340.289 MB -> 89.611 MB.
[2025-08-13T20:08:15.690Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:08:16.933Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:08:18.723Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:08:20.571Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:08:21.332Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:08:22.109Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:08:23.363Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:08:24.178Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:08:24.178Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:08:24.178Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:08:24.178Z] Top recommended movies for user id 72:
[2025-08-13T20:08:24.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:08:24.178Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:08:24.178Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:08:24.178Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:08:24.178Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:08:24.178Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10358.030 ms) ======
[2025-08-13T20:08:24.178Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-13T20:08:24.178Z] GC before operation: completed in 51.702 ms, heap usage 146.327 MB -> 92.486 MB.
[2025-08-13T20:08:25.930Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:08:27.847Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:08:29.077Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:08:30.308Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:08:31.086Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:08:32.308Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:08:33.082Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:08:33.854Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:08:33.854Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:08:33.854Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:08:34.205Z] Top recommended movies for user id 72:
[2025-08-13T20:08:34.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:08:34.205Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:08:34.205Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:08:34.205Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:08:34.205Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:08:34.205Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (9807.868 ms) ======
[2025-08-13T20:08:34.205Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-13T20:08:34.205Z] GC before operation: completed in 72.843 ms, heap usage 264.473 MB -> 89.788 MB.
[2025-08-13T20:08:35.488Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:08:36.738Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:08:38.564Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:08:39.805Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:08:40.567Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:08:41.324Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:08:42.553Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:08:43.314Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:08:43.666Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:08:43.666Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:08:43.666Z] Top recommended movies for user id 72:
[2025-08-13T20:08:43.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:08:43.666Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:08:43.666Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:08:43.666Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:08:43.666Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:08:43.666Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (9562.290 ms) ======
[2025-08-13T20:08:43.666Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-13T20:08:43.666Z] GC before operation: completed in 76.108 ms, heap usage 299.903 MB -> 90.036 MB.
[2025-08-13T20:08:45.435Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:08:46.677Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:08:48.445Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:08:49.688Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:08:50.953Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:08:51.739Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:08:52.503Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:08:53.319Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:08:53.670Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:08:53.670Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:08:53.670Z] Top recommended movies for user id 72:
[2025-08-13T20:08:53.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:08:53.670Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:08:53.670Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:08:53.670Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:08:53.670Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:08:53.670Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9912.854 ms) ======
[2025-08-13T20:08:53.670Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-13T20:08:53.670Z] GC before operation: completed in 74.602 ms, heap usage 161.090 MB -> 89.772 MB.
[2025-08-13T20:08:55.456Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:08:56.690Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:08:58.533Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:08:59.770Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:09:00.566Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:09:01.334Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:09:02.110Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:09:02.910Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:09:03.277Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:09:03.277Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:09:03.277Z] Top recommended movies for user id 72:
[2025-08-13T20:09:03.277Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:09:03.277Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:09:03.277Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:09:03.277Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:09:03.277Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:09:03.277Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (9397.065 ms) ======
[2025-08-13T20:09:03.277Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-13T20:09:03.277Z] GC before operation: completed in 74.704 ms, heap usage 109.190 MB -> 89.880 MB.
[2025-08-13T20:09:04.576Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:09:05.838Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:09:07.088Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:09:08.374Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:09:09.136Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:09:09.905Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:09:10.681Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:09:11.477Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:09:11.477Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:09:11.477Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:09:11.835Z] Top recommended movies for user id 72:
[2025-08-13T20:09:11.835Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:09:11.835Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:09:11.835Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:09:11.835Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:09:11.835Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:09:11.835Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8429.000 ms) ======
[2025-08-13T20:09:11.835Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-13T20:09:11.835Z] GC before operation: completed in 63.525 ms, heap usage 256.521 MB -> 89.847 MB.
[2025-08-13T20:09:13.057Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:09:14.301Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:09:16.076Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:09:17.321Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:09:18.169Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:09:19.418Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:09:20.178Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:09:20.972Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:09:21.329Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:09:21.329Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:09:21.329Z] Top recommended movies for user id 72:
[2025-08-13T20:09:21.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:09:21.329Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:09:21.329Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:09:21.329Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:09:21.329Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:09:21.329Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9496.768 ms) ======
[2025-08-13T20:09:21.329Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-13T20:09:21.329Z] GC before operation: completed in 62.222 ms, heap usage 419.642 MB -> 90.236 MB.
[2025-08-13T20:09:22.642Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:09:24.399Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:09:25.762Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:09:26.988Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:09:27.745Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:09:29.068Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:09:29.856Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:09:30.649Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:09:31.014Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:09:31.015Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:09:31.015Z] Top recommended movies for user id 72:
[2025-08-13T20:09:31.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:09:31.015Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:09:31.015Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:09:31.015Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:09:31.015Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:09:31.015Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (9632.017 ms) ======
[2025-08-13T20:09:31.015Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-13T20:09:31.015Z] GC before operation: completed in 68.129 ms, heap usage 335.284 MB -> 90.315 MB.
[2025-08-13T20:09:32.791Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:09:34.023Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:09:35.295Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:09:36.525Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:09:37.289Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:09:38.074Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:09:39.357Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:09:40.127Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:09:40.127Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:09:40.127Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:09:40.127Z] Top recommended movies for user id 72:
[2025-08-13T20:09:40.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:09:40.127Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:09:40.127Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:09:40.127Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:09:40.127Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:09:40.127Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9141.968 ms) ======
[2025-08-13T20:09:40.127Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-13T20:09:40.127Z] GC before operation: completed in 81.550 ms, heap usage 457.801 MB -> 90.228 MB.
[2025-08-13T20:09:41.899Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:09:43.147Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:09:44.995Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:09:46.227Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:09:47.445Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:09:48.256Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:09:49.013Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:09:49.795Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:09:49.795Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:09:49.795Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:09:50.158Z] Top recommended movies for user id 72:
[2025-08-13T20:09:50.158Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:09:50.158Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:09:50.158Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:09:50.158Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:09:50.158Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:09:50.158Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9771.980 ms) ======
[2025-08-13T20:09:50.158Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-13T20:09:50.158Z] GC before operation: completed in 68.836 ms, heap usage 230.858 MB -> 90.081 MB.
[2025-08-13T20:09:51.410Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:09:52.654Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:09:54.441Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:09:55.770Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:09:56.528Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:09:57.285Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:09:58.065Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:09:58.831Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:09:59.192Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:09:59.192Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:09:59.192Z] Top recommended movies for user id 72:
[2025-08-13T20:09:59.192Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:09:59.192Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:09:59.192Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:09:59.192Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:09:59.192Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:09:59.192Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9114.139 ms) ======
[2025-08-13T20:09:59.192Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-13T20:09:59.192Z] GC before operation: completed in 70.535 ms, heap usage 115.965 MB -> 89.762 MB.
[2025-08-13T20:10:00.980Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:10:02.264Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:10:03.528Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:10:04.858Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:10:06.130Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:10:06.912Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:10:07.680Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:10:08.471Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:10:08.471Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:10:08.471Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:10:08.831Z] Top recommended movies for user id 72:
[2025-08-13T20:10:08.831Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:10:08.831Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:10:08.831Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:10:08.831Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:10:08.831Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:10:08.831Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9405.375 ms) ======
[2025-08-13T20:10:08.831Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-13T20:10:08.831Z] GC before operation: completed in 60.354 ms, heap usage 114.142 MB -> 89.886 MB.
[2025-08-13T20:10:10.129Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:10:11.919Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:10:13.163Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:10:14.401Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:10:15.648Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:10:16.424Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:10:17.179Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:10:17.947Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:10:17.947Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:10:17.947Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:10:18.299Z] Top recommended movies for user id 72:
[2025-08-13T20:10:18.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:10:18.299Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:10:18.299Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:10:18.299Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:10:18.299Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:10:18.299Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (9415.391 ms) ======
[2025-08-13T20:10:18.299Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-13T20:10:18.299Z] GC before operation: completed in 61.817 ms, heap usage 451.795 MB -> 90.252 MB.
[2025-08-13T20:10:19.529Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:10:21.393Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:10:22.620Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:10:23.873Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:10:24.637Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:10:25.883Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:10:26.641Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:10:27.430Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:10:27.430Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:10:27.430Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:10:27.430Z] Top recommended movies for user id 72:
[2025-08-13T20:10:27.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:10:27.430Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:10:27.430Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:10:27.430Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:10:27.430Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:10:27.430Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (9307.430 ms) ======
[2025-08-13T20:10:27.430Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-13T20:10:27.430Z] GC before operation: completed in 72.868 ms, heap usage 553.139 MB -> 93.759 MB.
[2025-08-13T20:10:29.199Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-13T20:10:30.470Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-13T20:10:32.232Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-13T20:10:33.450Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-13T20:10:34.217Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-13T20:10:34.987Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-13T20:10:35.748Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-13T20:10:36.513Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-13T20:10:36.513Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-08-13T20:10:36.876Z] The best model improves the baseline by 14.52%.
[2025-08-13T20:10:36.876Z] Top recommended movies for user id 72:
[2025-08-13T20:10:36.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-08-13T20:10:36.876Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-08-13T20:10:36.876Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-08-13T20:10:36.876Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-08-13T20:10:36.876Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-08-13T20:10:36.876Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (9174.524 ms) ======
[2025-08-13T20:10:37.230Z] -----------------------------------
[2025-08-13T20:10:37.230Z] renaissance-movie-lens_0_PASSED
[2025-08-13T20:10:37.230Z] -----------------------------------
[2025-08-13T20:10:37.230Z]
[2025-08-13T20:10:37.230Z] TEST TEARDOWN:
[2025-08-13T20:10:37.230Z] Nothing to be done for teardown.
[2025-08-13T20:10:37.230Z] renaissance-movie-lens_0 Finish Time: Wed Aug 13 16:10:36 2025 Epoch Time (ms): 1755115836871