renaissance-movie-lens_0
[2025-10-15T20:41:37.221Z] Running test renaissance-movie-lens_0 ...
[2025-10-15T20:41:37.221Z] ===============================================
[2025-10-15T20:41:37.221Z] renaissance-movie-lens_0 Start Time: Wed Oct 15 16:41:36 2025 Epoch Time (ms): 1760560896872
[2025-10-15T20:41:37.221Z] variation: NoOptions
[2025-10-15T20:41:37.221Z] JVM_OPTIONS:
[2025-10-15T20:41:37.221Z] { \
[2025-10-15T20:41:37.221Z] echo ""; echo "TEST SETUP:"; \
[2025-10-15T20:41:37.221Z] echo "Nothing to be done for setup."; \
[2025-10-15T20:41:37.221Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17605603527613/renaissance-movie-lens_0"; \
[2025-10-15T20:41:37.221Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17605603527613/renaissance-movie-lens_0"; \
[2025-10-15T20:41:37.221Z] echo ""; echo "TESTING:"; \
[2025-10-15T20:41:37.221Z] "/Users/admin/workspace/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17605603527613/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-15T20:41:37.221Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17605603527613/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-15T20:41:37.221Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-15T20:41:37.221Z] echo "Nothing to be done for teardown."; \
[2025-10-15T20:41:37.221Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17605603527613/TestTargetResult";
[2025-10-15T20:41:37.221Z]
[2025-10-15T20:41:37.221Z] TEST SETUP:
[2025-10-15T20:41:37.221Z] Nothing to be done for setup.
[2025-10-15T20:41:37.221Z]
[2025-10-15T20:41:37.221Z] TESTING:
[2025-10-15T20:41:37.221Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-15T20:41:37.221Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17605603527613/renaissance-movie-lens_0/launcher-164136-18115572900623547956/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-15T20:41:37.221Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-15T20:41:37.221Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-15T20:41:39.612Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads.
[2025-10-15T20:41:42.044Z] 16:41:41.347 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB.
[2025-10-15T20:41:42.397Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-15T20:41:42.782Z] Training: 60056, validation: 20285, test: 19854
[2025-10-15T20:41:42.782Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-15T20:41:42.782Z] GC before operation: completed in 45.769 ms, heap usage 137.240 MB -> 75.674 MB.
[2025-10-15T20:41:45.206Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:41:48.476Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:41:48.476Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:41:49.238Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:41:49.999Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:41:50.759Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:41:51.534Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:41:52.325Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:41:52.325Z] 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.
[2025-10-15T20:41:52.325Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:41:52.325Z] Top recommended movies for user id 72:
[2025-10-15T20:41:52.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:41:52.325Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:41:52.325Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:41:52.325Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:41:52.325Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:41:52.325Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (9746.579 ms) ======
[2025-10-15T20:41:52.325Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-15T20:41:52.682Z] GC before operation: completed in 58.593 ms, heap usage 290.947 MB -> 86.269 MB.
[2025-10-15T20:41:53.906Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:41:55.161Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:41:56.397Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:41:57.633Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:41:58.397Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:41:58.756Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:41:59.534Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:42:00.309Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:42:00.309Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-10-15T20:42:00.309Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:42:00.309Z] Top recommended movies for user id 72:
[2025-10-15T20:42:00.309Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:42:00.309Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:42:00.309Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:42:00.309Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:42:00.309Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:42:00.309Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (7864.802 ms) ======
[2025-10-15T20:42:00.309Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-15T20:42:00.309Z] GC before operation: completed in 52.093 ms, heap usage 163.164 MB -> 89.248 MB.
[2025-10-15T20:42:01.584Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:42:02.878Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:42:03.661Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:42:04.952Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:42:05.737Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:42:06.113Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:42:06.887Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:42:07.648Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:42:07.648Z] 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.
[2025-10-15T20:42:07.648Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:42:07.648Z] Top recommended movies for user id 72:
[2025-10-15T20:42:07.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:42:07.648Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:42:07.648Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:42:07.648Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:42:07.648Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:42:07.648Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (7260.796 ms) ======
[2025-10-15T20:42:07.648Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-15T20:42:07.648Z] GC before operation: completed in 51.245 ms, heap usage 233.560 MB -> 88.863 MB.
[2025-10-15T20:42:08.874Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:42:10.117Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:42:10.935Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:42:12.186Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:42:12.541Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:42:13.301Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:42:14.071Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:42:14.424Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:42:14.786Z] 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.
[2025-10-15T20:42:14.786Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:42:14.786Z] Top recommended movies for user id 72:
[2025-10-15T20:42:14.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:42:14.786Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:42:14.786Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:42:14.786Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:42:14.786Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:42:14.786Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (6967.658 ms) ======
[2025-10-15T20:42:14.786Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-15T20:42:14.786Z] GC before operation: completed in 49.748 ms, heap usage 450.517 MB -> 89.462 MB.
[2025-10-15T20:42:16.105Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:42:16.884Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:42:17.657Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:42:18.907Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:42:19.270Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:42:20.035Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:42:20.805Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:42:21.165Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:42:21.522Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983.
[2025-10-15T20:42:21.522Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:42:21.523Z] Top recommended movies for user id 72:
[2025-10-15T20:42:21.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:42:21.523Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:42:21.523Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:42:21.523Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:42:21.523Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:42:21.523Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (6662.275 ms) ======
[2025-10-15T20:42:21.523Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-15T20:42:21.523Z] GC before operation: completed in 52.159 ms, heap usage 191.081 MB -> 88.971 MB.
[2025-10-15T20:42:22.776Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:42:23.543Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:42:24.768Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:42:25.542Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:42:26.314Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:42:27.087Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:42:27.450Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:42:28.225Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:42:28.225Z] 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.
[2025-10-15T20:42:28.225Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:42:28.226Z] Top recommended movies for user id 72:
[2025-10-15T20:42:28.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:42:28.226Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:42:28.226Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:42:28.226Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:42:28.226Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:42:28.226Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (6847.302 ms) ======
[2025-10-15T20:42:28.226Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-15T20:42:28.585Z] GC before operation: completed in 55.083 ms, heap usage 277.564 MB -> 89.568 MB.
[2025-10-15T20:42:29.356Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:42:30.601Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:42:31.879Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:42:32.649Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:42:33.441Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:42:34.238Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:42:34.602Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:42:35.371Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:42:35.371Z] 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.
[2025-10-15T20:42:35.371Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:42:35.371Z] Top recommended movies for user id 72:
[2025-10-15T20:42:35.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:42:35.371Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:42:35.371Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:42:35.371Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:42:35.371Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:42:35.371Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (7055.370 ms) ======
[2025-10-15T20:42:35.371Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-15T20:42:35.371Z] GC before operation: completed in 51.601 ms, heap usage 271.984 MB -> 89.500 MB.
[2025-10-15T20:42:36.622Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:42:37.389Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:42:38.635Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:42:40.013Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:42:40.782Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:42:41.588Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:42:42.825Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:42:43.595Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:42:43.595Z] 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.
[2025-10-15T20:42:43.953Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:42:43.953Z] Top recommended movies for user id 72:
[2025-10-15T20:42:43.953Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:42:43.954Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:42:43.954Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:42:43.954Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:42:43.954Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:42:43.954Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8337.079 ms) ======
[2025-10-15T20:42:43.954Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-15T20:42:43.954Z] GC before operation: completed in 69.357 ms, heap usage 324.774 MB -> 89.724 MB.
[2025-10-15T20:42:45.191Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:42:46.985Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:42:48.241Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:42:49.487Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:42:50.726Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:42:51.499Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:42:52.281Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:42:53.057Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:42:53.057Z] 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.
[2025-10-15T20:42:53.057Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:42:53.057Z] Top recommended movies for user id 72:
[2025-10-15T20:42:53.057Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:42:53.057Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:42:53.057Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:42:53.057Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:42:53.057Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:42:53.057Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (9293.604 ms) ======
[2025-10-15T20:42:53.057Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-15T20:42:53.584Z] GC before operation: completed in 76.043 ms, heap usage 340.659 MB -> 89.631 MB.
[2025-10-15T20:42:54.894Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:42:56.129Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:42:57.973Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:42:59.241Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:43:00.046Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:43:00.844Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:43:01.648Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:43:02.452Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:43:02.452Z] 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.
[2025-10-15T20:43:02.452Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:43:02.452Z] Top recommended movies for user id 72:
[2025-10-15T20:43:02.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:43:02.452Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:43:02.452Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:43:02.452Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:43:02.452Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:43:02.452Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (9252.073 ms) ======
[2025-10-15T20:43:02.452Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-15T20:43:02.452Z] GC before operation: completed in 78.649 ms, heap usage 436.421 MB -> 90.050 MB.
[2025-10-15T20:43:04.341Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:43:05.131Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:43:06.922Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:43:08.161Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:43:08.541Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:43:09.338Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:43:10.581Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:43:10.937Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:43:10.937Z] 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.
[2025-10-15T20:43:10.937Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:43:10.937Z] Top recommended movies for user id 72:
[2025-10-15T20:43:10.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:43:10.937Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:43:10.937Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:43:10.937Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:43:10.937Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:43:10.937Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8418.322 ms) ======
[2025-10-15T20:43:10.937Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-15T20:43:10.937Z] GC before operation: completed in 47.555 ms, heap usage 116.178 MB -> 89.211 MB.
[2025-10-15T20:43:12.167Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:43:13.406Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:43:14.645Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:43:15.875Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:43:16.676Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:43:17.453Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:43:18.749Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:43:19.542Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:43:19.542Z] 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.
[2025-10-15T20:43:19.542Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:43:19.542Z] Top recommended movies for user id 72:
[2025-10-15T20:43:19.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:43:19.542Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:43:19.542Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:43:19.542Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:43:19.542Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:43:19.542Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8492.933 ms) ======
[2025-10-15T20:43:19.542Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-15T20:43:19.542Z] GC before operation: completed in 65.872 ms, heap usage 97.252 MB -> 89.719 MB.
[2025-10-15T20:43:20.794Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:43:22.088Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:43:23.323Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:43:24.566Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:43:25.803Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:43:26.593Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:43:27.370Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:43:28.157Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:43:28.157Z] 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.
[2025-10-15T20:43:28.157Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:43:28.515Z] Top recommended movies for user id 72:
[2025-10-15T20:43:28.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:43:28.515Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:43:28.515Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:43:28.515Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:43:28.515Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:43:28.516Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8765.386 ms) ======
[2025-10-15T20:43:28.516Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-15T20:43:28.516Z] GC before operation: completed in 76.457 ms, heap usage 123.995 MB -> 89.531 MB.
[2025-10-15T20:43:30.302Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:43:31.529Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:43:32.777Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:43:34.026Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:43:34.793Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:43:35.571Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:43:36.831Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:43:37.206Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:43:37.570Z] 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.
[2025-10-15T20:43:37.570Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:43:37.570Z] Top recommended movies for user id 72:
[2025-10-15T20:43:37.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:43:37.570Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:43:37.570Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:43:37.570Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:43:37.570Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:43:37.570Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9108.866 ms) ======
[2025-10-15T20:43:37.570Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-15T20:43:37.570Z] GC before operation: completed in 68.264 ms, heap usage 466.582 MB -> 90.093 MB.
[2025-10-15T20:43:38.892Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:43:40.690Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:43:41.471Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:43:42.726Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:43:43.495Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:43:43.877Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:43:44.656Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:43:45.494Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:43:45.494Z] 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.
[2025-10-15T20:43:45.494Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:43:45.494Z] Top recommended movies for user id 72:
[2025-10-15T20:43:45.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:43:45.494Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:43:45.494Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:43:45.494Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:43:45.494Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:43:45.494Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (7946.084 ms) ======
[2025-10-15T20:43:45.494Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-15T20:43:45.858Z] GC before operation: completed in 68.792 ms, heap usage 224.897 MB -> 89.884 MB.
[2025-10-15T20:43:47.107Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:43:48.374Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:43:49.612Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:43:50.852Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:43:51.617Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:43:52.391Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:43:53.165Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:43:53.943Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:43:53.943Z] 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.
[2025-10-15T20:43:53.943Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:43:53.943Z] Top recommended movies for user id 72:
[2025-10-15T20:43:53.943Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:43:53.943Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:43:53.943Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:43:53.943Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:43:53.943Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:43:53.943Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8306.002 ms) ======
[2025-10-15T20:43:53.943Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-15T20:43:53.943Z] GC before operation: completed in 58.135 ms, heap usage 414.164 MB -> 90.059 MB.
[2025-10-15T20:43:55.188Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:43:56.423Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:43:57.672Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:43:58.914Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:43:59.677Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:44:00.465Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:44:00.873Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:44:01.672Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:44:01.672Z] 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.
[2025-10-15T20:44:01.672Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:44:02.037Z] Top recommended movies for user id 72:
[2025-10-15T20:44:02.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:44:02.037Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:44:02.037Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:44:02.037Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:44:02.037Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:44:02.037Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (7874.199 ms) ======
[2025-10-15T20:44:02.037Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-15T20:44:02.037Z] GC before operation: completed in 53.061 ms, heap usage 165.984 MB -> 89.749 MB.
[2025-10-15T20:44:03.324Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:44:04.580Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:44:05.820Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:44:07.063Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:44:07.846Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:44:08.651Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:44:09.011Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:44:09.798Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:44:10.152Z] 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.
[2025-10-15T20:44:10.152Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:44:10.152Z] Top recommended movies for user id 72:
[2025-10-15T20:44:10.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:44:10.152Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:44:10.152Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:44:10.152Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:44:10.152Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:44:10.152Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8084.201 ms) ======
[2025-10-15T20:44:10.152Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-15T20:44:10.152Z] GC before operation: completed in 60.713 ms, heap usage 242.020 MB -> 89.635 MB.
[2025-10-15T20:44:11.384Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:44:12.641Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:44:13.427Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:44:14.662Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:44:15.432Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:44:16.197Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:44:16.985Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:44:17.344Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:44:17.709Z] 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.
[2025-10-15T20:44:17.709Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:44:17.709Z] Top recommended movies for user id 72:
[2025-10-15T20:44:17.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:44:17.709Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:44:17.709Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:44:17.709Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:44:17.709Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:44:17.709Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (7507.896 ms) ======
[2025-10-15T20:44:17.709Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-15T20:44:17.709Z] GC before operation: completed in 59.815 ms, heap usage 336.077 MB -> 90.032 MB.
[2025-10-15T20:44:18.950Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-15T20:44:20.200Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-15T20:44:21.437Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-15T20:44:22.204Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-15T20:44:23.006Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-15T20:44:23.764Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-15T20:44:24.536Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-15T20:44:25.310Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-15T20:44:25.310Z] 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.
[2025-10-15T20:44:25.310Z] The best model improves the baseline by 14.52%.
[2025-10-15T20:44:25.310Z] Top recommended movies for user id 72:
[2025-10-15T20:44:25.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504)
[2025-10-15T20:44:25.310Z] 2: Goat, The (1921) (rating: 4.677, id: 83318)
[2025-10-15T20:44:25.310Z] 3: Play House, The (1921) (rating: 4.677, id: 83359)
[2025-10-15T20:44:25.310Z] 4: Cops (1922) (rating: 4.677, id: 83411)
[2025-10-15T20:44:25.310Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530)
[2025-10-15T20:44:25.310Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (7598.151 ms) ======
[2025-10-15T20:44:25.310Z] -----------------------------------
[2025-10-15T20:44:25.310Z] renaissance-movie-lens_0_PASSED
[2025-10-15T20:44:25.310Z] -----------------------------------
[2025-10-15T20:44:25.664Z]
[2025-10-15T20:44:25.664Z] TEST TEARDOWN:
[2025-10-15T20:44:25.664Z] Nothing to be done for teardown.
[2025-10-15T20:44:25.664Z] renaissance-movie-lens_0 Finish Time: Wed Oct 15 16:44:25 2025 Epoch Time (ms): 1760561065253