renaissance-movie-lens_0
[2025-12-04T05:29:54.356Z] Running test renaissance-movie-lens_0 ...
[2025-12-04T05:29:54.356Z] ===============================================
[2025-12-04T05:29:54.356Z] renaissance-movie-lens_0 Start Time: Thu Dec 4 05:29:53 2025 Epoch Time (ms): 1764826193524
[2025-12-04T05:29:54.356Z] variation: NoOptions
[2025-12-04T05:29:54.356Z] JVM_OPTIONS:
[2025-12-04T05:29:54.356Z] { \
[2025-12-04T05:29:54.356Z] echo ""; echo "TEST SETUP:"; \
[2025-12-04T05:29:54.356Z] echo "Nothing to be done for setup."; \
[2025-12-04T05:29:54.356Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648245496050/renaissance-movie-lens_0"; \
[2025-12-04T05:29:54.356Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648245496050/renaissance-movie-lens_0"; \
[2025-12-04T05:29:54.356Z] echo ""; echo "TESTING:"; \
[2025-12-04T05:29:54.356Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648245496050/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-12-04T05:29:54.356Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648245496050/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-12-04T05:29:54.356Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-12-04T05:29:54.356Z] echo "Nothing to be done for teardown."; \
[2025-12-04T05:29:54.356Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17648245496050/TestTargetResult";
[2025-12-04T05:29:54.356Z]
[2025-12-04T05:29:54.356Z] TEST SETUP:
[2025-12-04T05:29:54.356Z] Nothing to be done for setup.
[2025-12-04T05:29:54.356Z]
[2025-12-04T05:29:54.356Z] TESTING:
[2025-12-04T05:30:02.759Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-12-04T05:30:16.652Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-12-04T05:30:16.652Z] Training: 60056, validation: 20285, test: 19854
[2025-12-04T05:30:16.652Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-12-04T05:30:16.652Z] GC before operation: completed in 155.215 ms, heap usage 400.877 MB -> 75.420 MB.
[2025-12-04T05:30:23.606Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:30:28.142Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:30:31.610Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:30:36.126Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:30:38.649Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:30:41.158Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:30:43.662Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:30:46.165Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:30:46.165Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:30:46.165Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:30:46.950Z] Top recommended movies for user id 72:
[2025-12-04T05:30:46.950Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:30:46.950Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:30:46.950Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:30:46.950Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:30:46.950Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:30:46.950Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30223.952 ms) ======
[2025-12-04T05:30:46.950Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-12-04T05:30:46.950Z] GC before operation: completed in 200.725 ms, heap usage 463.437 MB -> 90.636 MB.
[2025-12-04T05:30:51.467Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:30:54.927Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:30:58.388Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:31:04.332Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:31:05.117Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:31:06.726Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:31:09.233Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:31:11.738Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:31:11.738Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:31:11.738Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:31:12.523Z] Top recommended movies for user id 72:
[2025-12-04T05:31:12.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:31:12.523Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:31:12.523Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:31:12.523Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:31:12.523Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:31:12.523Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25366.335 ms) ======
[2025-12-04T05:31:12.523Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-12-04T05:31:12.523Z] GC before operation: completed in 193.345 ms, heap usage 410.485 MB -> 90.864 MB.
[2025-12-04T05:31:15.991Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:31:20.522Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:31:23.983Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:31:27.448Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:31:30.061Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:31:31.670Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:31:34.173Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:31:36.678Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:31:36.678Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:31:36.678Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:31:36.678Z] Top recommended movies for user id 72:
[2025-12-04T05:31:36.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:31:36.678Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:31:36.678Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:31:36.678Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:31:36.678Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:31:36.678Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24355.604 ms) ======
[2025-12-04T05:31:36.678Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-12-04T05:31:37.457Z] GC before operation: completed in 227.682 ms, heap usage 504.615 MB -> 91.734 MB.
[2025-12-04T05:31:40.930Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:31:44.399Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:31:47.862Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:31:51.370Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:31:53.875Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:31:55.491Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:31:57.990Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:32:00.493Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:32:00.493Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:32:00.493Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:32:01.275Z] Top recommended movies for user id 72:
[2025-12-04T05:32:01.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:32:01.275Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:32:01.275Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:32:01.275Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:32:01.275Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:32:01.275Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23816.126 ms) ======
[2025-12-04T05:32:01.275Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-12-04T05:32:01.275Z] GC before operation: completed in 207.839 ms, heap usage 641.803 MB -> 92.058 MB.
[2025-12-04T05:32:04.740Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:32:08.210Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:32:11.686Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:32:15.155Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:32:18.415Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:32:21.587Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:32:21.587Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:32:24.100Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:32:24.100Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:32:24.100Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:32:24.881Z] Top recommended movies for user id 72:
[2025-12-04T05:32:24.881Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:32:24.881Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:32:24.881Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:32:24.881Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:32:24.881Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:32:24.881Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23480.046 ms) ======
[2025-12-04T05:32:24.881Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-12-04T05:32:24.881Z] GC before operation: completed in 221.214 ms, heap usage 418.196 MB -> 91.809 MB.
[2025-12-04T05:32:28.348Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:32:31.844Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:32:35.485Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:32:38.958Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:32:41.468Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:32:43.079Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:32:45.599Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:32:48.105Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:32:48.105Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:32:48.105Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:32:48.105Z] Top recommended movies for user id 72:
[2025-12-04T05:32:48.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:32:48.105Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:32:48.105Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:32:48.105Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:32:48.105Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:32:48.105Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23542.493 ms) ======
[2025-12-04T05:32:48.105Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-12-04T05:32:48.885Z] GC before operation: completed in 204.979 ms, heap usage 397.088 MB -> 92.179 MB.
[2025-12-04T05:32:52.350Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:32:55.829Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:32:59.297Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:33:02.777Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:33:05.278Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:33:06.889Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:33:09.392Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:33:11.908Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:33:11.908Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:33:11.908Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:33:11.908Z] Top recommended movies for user id 72:
[2025-12-04T05:33:11.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:33:11.908Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:33:11.908Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:33:11.908Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:33:11.908Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:33:11.908Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23434.304 ms) ======
[2025-12-04T05:33:11.908Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-12-04T05:33:12.689Z] GC before operation: completed in 245.880 ms, heap usage 779.799 MB -> 95.690 MB.
[2025-12-04T05:33:16.179Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:33:19.682Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:33:23.144Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:33:26.609Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:33:28.216Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:33:31.791Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:33:32.928Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:33:35.459Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:33:35.459Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:33:35.459Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:33:35.459Z] Top recommended movies for user id 72:
[2025-12-04T05:33:35.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:33:35.459Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:33:35.459Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:33:35.459Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:33:35.459Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:33:35.459Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23314.746 ms) ======
[2025-12-04T05:33:35.459Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-12-04T05:33:35.459Z] GC before operation: completed in 206.436 ms, heap usage 1.139 GB -> 96.516 MB.
[2025-12-04T05:33:39.980Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:33:43.452Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:33:46.925Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:33:50.393Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:33:52.005Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:33:54.523Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:33:56.163Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:33:58.673Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:33:58.673Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:33:59.475Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:33:59.475Z] Top recommended movies for user id 72:
[2025-12-04T05:33:59.475Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:33:59.475Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:33:59.475Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:33:59.475Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:33:59.475Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:33:59.475Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23475.476 ms) ======
[2025-12-04T05:33:59.475Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-12-04T05:33:59.475Z] GC before operation: completed in 224.629 ms, heap usage 400.604 MB -> 92.178 MB.
[2025-12-04T05:34:02.943Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:34:06.404Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:34:09.883Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:34:13.355Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:34:16.018Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:34:17.644Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:34:20.148Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:34:22.676Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:34:22.676Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:34:22.676Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:34:22.676Z] Top recommended movies for user id 72:
[2025-12-04T05:34:22.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:34:22.676Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:34:22.676Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:34:22.676Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:34:22.676Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:34:22.676Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23343.987 ms) ======
[2025-12-04T05:34:22.676Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-12-04T05:34:23.456Z] GC before operation: completed in 215.209 ms, heap usage 598.658 MB -> 92.556 MB.
[2025-12-04T05:34:26.923Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:34:30.476Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:34:33.941Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:34:37.427Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:34:39.045Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:34:41.547Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:34:44.602Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:34:45.730Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:34:45.730Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:34:45.730Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:34:46.508Z] Top recommended movies for user id 72:
[2025-12-04T05:34:46.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:34:46.508Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:34:46.508Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:34:46.508Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:34:46.508Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:34:46.508Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23138.264 ms) ======
[2025-12-04T05:34:46.508Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-12-04T05:34:46.508Z] GC before operation: completed in 211.493 ms, heap usage 1.133 GB -> 96.273 MB.
[2025-12-04T05:34:49.976Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:34:53.439Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:34:56.906Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:35:00.371Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:35:02.875Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:35:05.377Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:35:06.989Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:35:09.494Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:35:09.494Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:35:09.494Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:35:09.494Z] Top recommended movies for user id 72:
[2025-12-04T05:35:09.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:35:09.494Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:35:09.494Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:35:09.494Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:35:09.494Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:35:09.494Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23417.560 ms) ======
[2025-12-04T05:35:09.494Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-12-04T05:35:10.277Z] GC before operation: completed in 224.056 ms, heap usage 432.058 MB -> 92.277 MB.
[2025-12-04T05:35:13.746Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:35:17.206Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:35:20.668Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:35:24.128Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:35:26.630Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:35:28.242Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:35:30.887Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:35:32.502Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:35:33.281Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:35:33.281Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:35:33.281Z] Top recommended movies for user id 72:
[2025-12-04T05:35:33.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:35:33.281Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:35:33.281Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:35:33.281Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:35:33.281Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:35:33.281Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23167.082 ms) ======
[2025-12-04T05:35:33.281Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-12-04T05:35:33.281Z] GC before operation: completed in 239.519 ms, heap usage 1.115 GB -> 96.616 MB.
[2025-12-04T05:35:36.765Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:35:40.240Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:35:43.711Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:35:47.193Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:35:49.698Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:35:52.193Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:35:53.821Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:35:56.341Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:35:56.341Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:35:58.351Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:35:58.351Z] Top recommended movies for user id 72:
[2025-12-04T05:35:58.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:35:58.351Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:35:58.351Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:35:58.351Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:35:58.351Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:35:58.351Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23475.758 ms) ======
[2025-12-04T05:35:58.351Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-12-04T05:35:58.351Z] GC before operation: completed in 238.566 ms, heap usage 1.216 GB -> 96.744 MB.
[2025-12-04T05:36:00.583Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:36:04.048Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:36:07.512Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:36:10.972Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:36:13.473Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:36:15.988Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:36:17.596Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:36:20.111Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:36:20.111Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:36:20.111Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:36:20.111Z] Top recommended movies for user id 72:
[2025-12-04T05:36:20.111Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:36:20.111Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:36:20.111Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:36:20.111Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:36:20.111Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:36:20.111Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23152.746 ms) ======
[2025-12-04T05:36:20.111Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-12-04T05:36:20.892Z] GC before operation: completed in 205.486 ms, heap usage 623.363 MB -> 92.651 MB.
[2025-12-04T05:36:24.350Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:36:27.831Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:36:31.403Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:36:34.875Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:36:36.491Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:36:39.022Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:36:40.629Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:36:43.162Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:36:43.162Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:36:43.162Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:36:43.162Z] Top recommended movies for user id 72:
[2025-12-04T05:36:43.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:36:43.162Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:36:43.162Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:36:43.162Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:36:43.162Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:36:43.162Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22858.304 ms) ======
[2025-12-04T05:36:43.162Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-12-04T05:36:43.948Z] GC before operation: completed in 261.625 ms, heap usage 441.660 MB -> 92.321 MB.
[2025-12-04T05:36:47.415Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:36:50.937Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:36:54.407Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:36:57.871Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:36:59.479Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:37:02.001Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:37:03.610Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:37:06.111Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:37:06.111Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:37:06.111Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:37:06.890Z] Top recommended movies for user id 72:
[2025-12-04T05:37:06.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:37:06.890Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:37:06.890Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:37:06.890Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:37:06.890Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:37:06.890Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (22922.014 ms) ======
[2025-12-04T05:37:06.890Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-12-04T05:37:06.890Z] GC before operation: completed in 237.131 ms, heap usage 327.857 MB -> 92.312 MB.
[2025-12-04T05:37:10.840Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:37:14.301Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:37:17.813Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:37:21.310Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:37:22.917Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:37:25.424Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:37:27.035Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:37:29.543Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:37:29.543Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:37:29.543Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:37:30.321Z] Top recommended movies for user id 72:
[2025-12-04T05:37:30.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:37:30.321Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:37:30.321Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:37:30.321Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:37:30.321Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:37:30.321Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23184.952 ms) ======
[2025-12-04T05:37:30.321Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-12-04T05:37:30.321Z] GC before operation: completed in 221.907 ms, heap usage 944.345 MB -> 95.904 MB.
[2025-12-04T05:37:33.956Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:37:37.428Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:37:40.891Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:37:44.350Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:37:46.860Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:37:48.474Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:37:50.982Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:37:52.610Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:37:53.395Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:37:53.395Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:37:53.395Z] Top recommended movies for user id 72:
[2025-12-04T05:37:53.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:37:53.395Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:37:53.395Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:37:53.395Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:37:53.395Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:37:53.395Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23237.384 ms) ======
[2025-12-04T05:37:53.395Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-12-04T05:37:53.395Z] GC before operation: completed in 218.540 ms, heap usage 434.920 MB -> 92.361 MB.
[2025-12-04T05:37:56.860Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-12-04T05:38:00.336Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-12-04T05:38:04.849Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-12-04T05:38:07.355Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-12-04T05:38:09.856Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-12-04T05:38:12.365Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-12-04T05:38:13.979Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-12-04T05:38:16.530Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-12-04T05:38:17.656Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-12-04T05:38:17.656Z] The best model improves the baseline by 14.43%.
[2025-12-04T05:38:17.656Z] Top recommended movies for user id 72:
[2025-12-04T05:38:17.656Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-12-04T05:38:17.656Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-12-04T05:38:17.656Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-12-04T05:38:17.656Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-12-04T05:38:17.656Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-12-04T05:38:17.656Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23240.873 ms) ======
[2025-12-04T05:38:17.656Z] -----------------------------------
[2025-12-04T05:38:17.656Z] renaissance-movie-lens_0_PASSED
[2025-12-04T05:38:17.656Z] -----------------------------------
[2025-12-04T05:38:17.656Z]
[2025-12-04T05:38:17.656Z] TEST TEARDOWN:
[2025-12-04T05:38:17.656Z] Nothing to be done for teardown.
[2025-12-04T05:38:17.656Z] renaissance-movie-lens_0 Finish Time: Thu Dec 4 05:38:17 2025 Epoch Time (ms): 1764826697043