renaissance-movie-lens_0
[2025-10-22T07:09:50.638Z] Running test renaissance-movie-lens_0 ...
[2025-10-22T07:09:50.638Z] ===============================================
[2025-10-22T07:09:50.638Z] renaissance-movie-lens_0 Start Time: Wed Oct 22 08:09:50 2025 Epoch Time (ms): 1761116990399
[2025-10-22T07:09:50.638Z] variation: NoOptions
[2025-10-22T07:09:50.638Z] JVM_OPTIONS:
[2025-10-22T07:09:50.638Z] { \
[2025-10-22T07:09:50.638Z] echo ""; echo "TEST SETUP:"; \
[2025-10-22T07:09:50.638Z] echo "Nothing to be done for setup."; \
[2025-10-22T07:09:50.638Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17611066098699/renaissance-movie-lens_0"; \
[2025-10-22T07:09:50.638Z] cd "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17611066098699/renaissance-movie-lens_0"; \
[2025-10-22T07:09:50.638Z] echo ""; echo "TESTING:"; \
[2025-10-22T07:09:50.638Z] "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/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/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17611066098699/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-22T07:09:50.638Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/..; rm -f -r "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17611066098699/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-22T07:09:50.638Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-22T07:09:50.638Z] echo "Nothing to be done for teardown."; \
[2025-10-22T07:09:50.638Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac_testList_0/aqa-tests/TKG/../TKG/output_17611066098699/TestTargetResult";
[2025-10-22T07:09:50.638Z]
[2025-10-22T07:09:50.638Z] TEST SETUP:
[2025-10-22T07:09:50.638Z] Nothing to be done for setup.
[2025-10-22T07:09:50.638Z]
[2025-10-22T07:09:50.638Z] TESTING:
[2025-10-22T07:09:56.799Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-10-22T07:10:06.042Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-22T07:10:06.410Z] Training: 60056, validation: 20285, test: 19854
[2025-10-22T07:10:06.410Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-22T07:10:06.410Z] GC before operation: completed in 92.196 ms, heap usage 298.216 MB -> 76.284 MB.
[2025-10-22T07:10:34.604Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:10:54.132Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:11:17.659Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:11:33.919Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:11:45.076Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:11:54.257Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:12:07.755Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:12:16.975Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:12:16.975Z] 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.
[2025-10-22T07:12:16.975Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:12:16.975Z] Top recommended movies for user id 72:
[2025-10-22T07:12:16.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:12:16.975Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:12:16.975Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:12:16.975Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:12:16.975Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:12:16.975Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (130486.675 ms) ======
[2025-10-22T07:12:16.975Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-22T07:12:16.975Z] GC before operation: completed in 133.848 ms, heap usage 650.743 MB -> 113.389 MB.
[2025-10-22T07:12:40.465Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:12:59.991Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:13:23.451Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:13:42.975Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:13:52.157Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:14:02.103Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:14:20.497Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:14:24.458Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:14:24.458Z] 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.
[2025-10-22T07:14:24.458Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:14:24.814Z] Top recommended movies for user id 72:
[2025-10-22T07:14:24.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:14:24.814Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:14:24.814Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:14:24.814Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:14:24.814Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:14:24.814Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (127847.528 ms) ======
[2025-10-22T07:14:24.814Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-22T07:14:24.814Z] GC before operation: completed in 118.841 ms, heap usage 363.107 MB -> 119.098 MB.
[2025-10-22T07:14:48.352Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:15:08.176Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:15:31.650Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:15:47.898Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:15:59.297Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:16:08.488Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:16:21.943Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:16:29.481Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:16:30.244Z] 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.
[2025-10-22T07:16:30.244Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:16:30.244Z] Top recommended movies for user id 72:
[2025-10-22T07:16:30.244Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:16:30.244Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:16:30.244Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:16:30.244Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:16:30.244Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:16:30.244Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (125378.896 ms) ======
[2025-10-22T07:16:30.244Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-22T07:16:30.599Z] GC before operation: completed in 126.626 ms, heap usage 798.463 MB -> 120.207 MB.
[2025-10-22T07:16:54.118Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:17:13.641Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:17:37.162Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:17:53.388Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:18:02.608Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:18:11.770Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:18:25.225Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:18:34.418Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:18:34.418Z] 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.
[2025-10-22T07:18:34.418Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:18:34.418Z] Top recommended movies for user id 72:
[2025-10-22T07:18:34.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:18:34.418Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:18:34.418Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:18:34.418Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:18:34.418Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:18:34.418Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (124116.359 ms) ======
[2025-10-22T07:18:34.418Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-22T07:18:34.776Z] GC before operation: completed in 125.659 ms, heap usage 591.457 MB -> 120.388 MB.
[2025-10-22T07:18:58.244Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:19:17.772Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:19:41.662Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:19:57.928Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:20:07.096Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:20:16.309Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:20:29.761Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:20:38.937Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:20:38.937Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-10-22T07:20:38.937Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:20:38.937Z] Top recommended movies for user id 72:
[2025-10-22T07:20:38.937Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:20:38.937Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:20:38.937Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:20:38.937Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:20:38.937Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:20:38.937Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (123879.754 ms) ======
[2025-10-22T07:20:38.937Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-22T07:20:38.937Z] GC before operation: completed in 126.993 ms, heap usage 1.359 GB -> 119.380 MB.
[2025-10-22T07:20:59.138Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:21:18.667Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:21:42.146Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:22:01.746Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:22:10.931Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:22:20.022Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:22:33.492Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:22:42.672Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:22:42.672Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-10-22T07:22:42.672Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:22:42.672Z] Top recommended movies for user id 72:
[2025-10-22T07:22:42.672Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:22:42.672Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:22:42.672Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:22:42.672Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:22:42.672Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:22:42.672Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (123372.001 ms) ======
[2025-10-22T07:22:42.672Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-22T07:22:42.672Z] GC before operation: completed in 118.639 ms, heap usage 1.010 GB -> 120.995 MB.
[2025-10-22T07:23:02.274Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:23:21.808Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:23:45.335Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:24:04.857Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:24:14.029Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:24:23.196Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:24:36.654Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:24:45.912Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:24:45.912Z] 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.
[2025-10-22T07:24:45.912Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:24:45.912Z] Top recommended movies for user id 72:
[2025-10-22T07:24:45.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:24:45.912Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:24:45.912Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:24:45.912Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:24:45.912Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:24:45.912Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (123087.878 ms) ======
[2025-10-22T07:24:45.912Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-22T07:24:45.912Z] GC before operation: completed in 121.817 ms, heap usage 456.521 MB -> 120.583 MB.
[2025-10-22T07:25:09.388Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:25:29.055Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:25:52.646Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:26:08.918Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:26:20.084Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:26:29.266Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:26:45.502Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:26:57.416Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:26:57.417Z] 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.
[2025-10-22T07:26:57.417Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:26:57.417Z] Top recommended movies for user id 72:
[2025-10-22T07:26:57.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:26:57.417Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:26:57.417Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:26:57.417Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:26:57.417Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:26:57.417Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (131262.045 ms) ======
[2025-10-22T07:26:57.417Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-22T07:26:57.417Z] GC before operation: completed in 139.880 ms, heap usage 1.302 GB -> 121.131 MB.
[2025-10-22T07:27:16.944Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:27:40.457Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:28:03.996Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:28:20.223Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:28:29.400Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:28:38.572Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:28:52.062Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:29:01.233Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:29:01.233Z] 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.
[2025-10-22T07:29:01.233Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:29:01.233Z] Top recommended movies for user id 72:
[2025-10-22T07:29:01.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:29:01.233Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:29:01.233Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:29:01.233Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:29:01.233Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:29:01.233Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (124228.335 ms) ======
[2025-10-22T07:29:01.233Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-22T07:29:01.233Z] GC before operation: completed in 146.327 ms, heap usage 357.693 MB -> 120.616 MB.
[2025-10-22T07:29:25.153Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:29:41.376Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:30:04.887Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:30:24.445Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:30:33.614Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:30:42.776Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:30:56.225Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:31:05.398Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:31:05.398Z] 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.
[2025-10-22T07:31:05.398Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:31:05.398Z] Top recommended movies for user id 72:
[2025-10-22T07:31:05.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:31:05.398Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:31:05.398Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:31:05.398Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:31:05.398Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:31:05.398Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (123662.640 ms) ======
[2025-10-22T07:31:05.398Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-22T07:31:05.398Z] GC before operation: completed in 142.076 ms, heap usage 868.550 MB -> 120.957 MB.
[2025-10-22T07:31:28.898Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:31:48.422Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:32:11.913Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:32:28.244Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:32:38.015Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:32:49.199Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:33:00.333Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:33:09.497Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:33:09.852Z] 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.
[2025-10-22T07:33:09.852Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:33:10.210Z] Top recommended movies for user id 72:
[2025-10-22T07:33:10.210Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:33:10.210Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:33:10.210Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:33:10.210Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:33:10.210Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:33:10.210Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (125145.610 ms) ======
[2025-10-22T07:33:10.210Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-22T07:33:10.210Z] GC before operation: completed in 125.941 ms, heap usage 463.829 MB -> 120.390 MB.
[2025-10-22T07:33:33.671Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:33:53.187Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:34:16.721Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:34:32.966Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:34:42.145Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:34:51.347Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:35:04.836Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:35:14.065Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:35:14.065Z] 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.
[2025-10-22T07:35:14.065Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:35:14.065Z] Top recommended movies for user id 72:
[2025-10-22T07:35:14.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:35:14.065Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:35:14.065Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:35:14.065Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:35:14.065Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:35:14.065Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (123745.222 ms) ======
[2025-10-22T07:35:14.065Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-22T07:35:14.065Z] GC before operation: completed in 120.850 ms, heap usage 752.678 MB -> 120.834 MB.
[2025-10-22T07:35:37.534Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:36:14.121Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:36:33.651Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:36:53.260Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:37:02.441Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:37:11.610Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:37:25.137Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:37:32.669Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:37:32.669Z] 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.
[2025-10-22T07:37:32.669Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:37:33.034Z] Top recommended movies for user id 72:
[2025-10-22T07:37:33.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:37:33.034Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:37:33.034Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:37:33.034Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:37:33.034Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:37:33.034Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (138867.413 ms) ======
[2025-10-22T07:37:33.034Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-22T07:37:33.034Z] GC before operation: completed in 139.283 ms, heap usage 182.881 MB -> 120.831 MB.
[2025-10-22T07:37:56.508Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:38:16.103Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:38:39.576Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:38:55.813Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:39:09.275Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:39:32.026Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:39:45.509Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:39:54.693Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:39:54.693Z] 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.
[2025-10-22T07:39:54.693Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:39:54.693Z] Top recommended movies for user id 72:
[2025-10-22T07:39:54.693Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:39:54.693Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:39:54.693Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:39:54.693Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:39:54.693Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:39:54.693Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (141156.026 ms) ======
[2025-10-22T07:39:54.693Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-22T07:39:54.693Z] GC before operation: completed in 119.376 ms, heap usage 414.892 MB -> 120.765 MB.
[2025-10-22T07:40:33.956Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:40:50.178Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:41:13.726Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:41:33.318Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:41:47.568Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:41:55.872Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:42:13.462Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:42:26.341Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:42:26.341Z] 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.
[2025-10-22T07:42:26.341Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:42:26.341Z] Top recommended movies for user id 72:
[2025-10-22T07:42:26.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:42:26.341Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:42:26.341Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:42:26.341Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:42:26.341Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:42:26.341Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (152112.098 ms) ======
[2025-10-22T07:42:26.341Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-22T07:42:28.357Z] GC before operation: completed in 113.386 ms, heap usage 231.549 MB -> 121.009 MB.
[2025-10-22T07:42:55.822Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:43:11.392Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:43:37.774Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:44:15.630Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:44:21.856Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:44:32.847Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:44:46.345Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:44:57.468Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:44:57.468Z] 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.
[2025-10-22T07:44:57.468Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:44:57.468Z] Top recommended movies for user id 72:
[2025-10-22T07:44:57.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:44:57.468Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:44:57.468Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:44:57.468Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:44:57.468Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:44:57.468Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (150013.516 ms) ======
[2025-10-22T07:44:57.468Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-22T07:44:57.468Z] GC before operation: completed in 145.239 ms, heap usage 1.026 GB -> 121.092 MB.
[2025-10-22T07:45:35.348Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:45:54.885Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:46:29.273Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:46:59.599Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:47:10.791Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:47:19.970Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:47:33.525Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:47:41.107Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:47:41.107Z] 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.
[2025-10-22T07:47:41.107Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:47:41.107Z] Top recommended movies for user id 72:
[2025-10-22T07:47:41.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:47:41.107Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:47:41.107Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:47:41.107Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:47:41.107Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:47:41.107Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (164276.644 ms) ======
[2025-10-22T07:47:41.107Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-22T07:47:41.107Z] GC before operation: completed in 119.591 ms, heap usage 959.048 MB -> 121.181 MB.
[2025-10-22T07:48:04.641Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:48:29.672Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:48:53.812Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:49:10.037Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:49:21.193Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:49:30.428Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:49:43.889Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:49:53.061Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:49:53.061Z] 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.
[2025-10-22T07:49:53.061Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:49:53.061Z] Top recommended movies for user id 72:
[2025-10-22T07:49:53.062Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:49:53.062Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:49:53.062Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:49:53.062Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:49:53.062Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:49:53.062Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (131788.059 ms) ======
[2025-10-22T07:49:53.062Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-22T07:49:53.062Z] GC before operation: completed in 115.278 ms, heap usage 192.018 MB -> 120.677 MB.
[2025-10-22T07:50:16.547Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:50:40.068Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:51:12.588Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:51:28.819Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:51:42.285Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:51:51.912Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:52:05.527Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:52:14.719Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:52:15.109Z] 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.
[2025-10-22T07:52:15.109Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:52:15.477Z] Top recommended movies for user id 72:
[2025-10-22T07:52:15.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:52:15.477Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:52:15.477Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:52:15.477Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:52:15.477Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:52:15.477Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (142329.043 ms) ======
[2025-10-22T07:52:15.477Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-22T07:52:15.477Z] GC before operation: completed in 120.723 ms, heap usage 1.340 GB -> 121.259 MB.
[2025-10-22T07:52:39.876Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-22T07:53:09.884Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-22T07:53:33.581Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-22T07:53:49.824Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-22T07:54:00.962Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-22T07:54:10.144Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-22T07:54:23.609Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-22T07:54:32.815Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-22T07:54:33.169Z] 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.
[2025-10-22T07:54:33.170Z] The best model improves the baseline by 14.43%.
[2025-10-22T07:54:33.170Z] Top recommended movies for user id 72:
[2025-10-22T07:54:33.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-10-22T07:54:33.170Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-10-22T07:54:33.170Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-10-22T07:54:33.170Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-10-22T07:54:33.170Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-10-22T07:54:33.170Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (137827.324 ms) ======
[2025-10-22T07:54:34.928Z] -----------------------------------
[2025-10-22T07:54:34.928Z] renaissance-movie-lens_0_PASSED
[2025-10-22T07:54:34.928Z] -----------------------------------
[2025-10-22T07:54:34.928Z]
[2025-10-22T07:54:34.928Z] TEST TEARDOWN:
[2025-10-22T07:54:34.928Z] Nothing to be done for teardown.
[2025-10-22T07:54:34.928Z] renaissance-movie-lens_0 Finish Time: Wed Oct 22 08:54:34 2025 Epoch Time (ms): 1761119674723