renaissance-movie-lens_0
[2025-06-19T04:33:37.934Z] Running test renaissance-movie-lens_0 ...
[2025-06-19T04:33:37.934Z] ===============================================
[2025-06-19T04:33:37.934Z] renaissance-movie-lens_0 Start Time: Thu Jun 19 04:33:37 2025 Epoch Time (ms): 1750307617646
[2025-06-19T04:33:37.934Z] variation: NoOptions
[2025-06-19T04:33:37.934Z] JVM_OPTIONS:
[2025-06-19T04:33:37.934Z] { \
[2025-06-19T04:33:37.934Z] echo ""; echo "TEST SETUP:"; \
[2025-06-19T04:33:37.934Z] echo "Nothing to be done for setup."; \
[2025-06-19T04:33:37.934Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17503062885178/renaissance-movie-lens_0"; \
[2025-06-19T04:33:37.934Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17503062885178/renaissance-movie-lens_0"; \
[2025-06-19T04:33:37.934Z] echo ""; echo "TESTING:"; \
[2025-06-19T04:33:37.934Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/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_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17503062885178/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-19T04:33:37.934Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17503062885178/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-19T04:33:37.934Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-19T04:33:37.934Z] echo "Nothing to be done for teardown."; \
[2025-06-19T04:33:37.934Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix_testList_1/aqa-tests/TKG/../TKG/output_17503062885178/TestTargetResult";
[2025-06-19T04:33:37.934Z]
[2025-06-19T04:33:37.934Z] TEST SETUP:
[2025-06-19T04:33:37.934Z] Nothing to be done for setup.
[2025-06-19T04:33:37.934Z]
[2025-06-19T04:33:37.934Z] TESTING:
[2025-06-19T04:34:13.107Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-06-19T04:34:38.725Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-19T04:34:38.725Z] Training: 60056, validation: 20285, test: 19854
[2025-06-19T04:34:38.725Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-19T04:34:38.725Z] GC before operation: completed in 205.916 ms, heap usage 429.268 MB -> 75.354 MB.
[2025-06-19T04:34:43.167Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:34:48.729Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:34:53.167Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:34:56.556Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:34:59.006Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:35:01.447Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:35:04.829Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:35:06.581Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:35:07.340Z] 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.
[2025-06-19T04:35:07.340Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:35:07.340Z] Top recommended movies for user id 72:
[2025-06-19T04:35:07.340Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:35:07.340Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:35:07.340Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:35:07.340Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:35:07.340Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:35:07.340Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (30715.555 ms) ======
[2025-06-19T04:35:07.340Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-19T04:35:08.099Z] GC before operation: completed in 240.276 ms, heap usage 137.698 MB -> 91.828 MB.
[2025-06-19T04:35:11.481Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:35:15.924Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:35:20.338Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:35:23.717Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:35:26.169Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:35:27.734Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:35:30.423Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:35:32.933Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:35:32.933Z] 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.
[2025-06-19T04:35:32.933Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:35:32.933Z] Top recommended movies for user id 72:
[2025-06-19T04:35:32.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:35:32.933Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:35:32.933Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:35:32.933Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:35:32.933Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:35:32.933Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25413.568 ms) ======
[2025-06-19T04:35:32.933Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-19T04:35:33.755Z] GC before operation: completed in 180.120 ms, heap usage 2.586 GB -> 96.006 MB.
[2025-06-19T04:35:37.203Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:35:42.749Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:35:50.982Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:35:53.450Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:35:56.841Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:35:58.412Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:36:01.786Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:36:04.231Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:36:04.231Z] 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.
[2025-06-19T04:36:04.231Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:36:04.231Z] Top recommended movies for user id 72:
[2025-06-19T04:36:04.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:36:04.231Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:36:04.231Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:36:04.231Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:36:04.231Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:36:04.231Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (31175.450 ms) ======
[2025-06-19T04:36:04.231Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-19T04:36:04.989Z] GC before operation: completed in 213.096 ms, heap usage 1.231 GB -> 95.402 MB.
[2025-06-19T04:36:08.392Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:36:13.930Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:36:22.122Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:36:26.549Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:36:28.995Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:36:31.431Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:36:34.040Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:36:36.480Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:36:36.480Z] 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.
[2025-06-19T04:36:37.252Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:36:37.252Z] Top recommended movies for user id 72:
[2025-06-19T04:36:37.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:36:37.252Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:36:37.252Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:36:37.252Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:36:37.252Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:36:37.252Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (32370.898 ms) ======
[2025-06-19T04:36:37.252Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-19T04:36:37.252Z] GC before operation: completed in 224.353 ms, heap usage 1.850 GB -> 96.585 MB.
[2025-06-19T04:36:41.737Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:36:45.162Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:36:53.358Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:36:56.741Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:36:59.182Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:37:01.621Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:37:05.003Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:37:07.630Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:37:07.630Z] 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.
[2025-06-19T04:37:07.630Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:37:07.630Z] Top recommended movies for user id 72:
[2025-06-19T04:37:07.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:37:07.630Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:37:07.630Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:37:07.630Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:37:07.630Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:37:07.630Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (30535.748 ms) ======
[2025-06-19T04:37:07.630Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-19T04:37:08.388Z] GC before operation: completed in 224.900 ms, heap usage 2.665 GB -> 96.856 MB.
[2025-06-19T04:37:11.762Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:37:15.161Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:37:20.690Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:37:24.091Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:37:26.527Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:37:28.131Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:37:32.539Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:37:35.010Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:37:35.771Z] 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.
[2025-06-19T04:37:35.771Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:37:35.771Z] Top recommended movies for user id 72:
[2025-06-19T04:37:35.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:37:35.771Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:37:35.771Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:37:35.771Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:37:35.771Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:37:35.771Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (27727.115 ms) ======
[2025-06-19T04:37:35.771Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-19T04:37:35.771Z] GC before operation: completed in 205.357 ms, heap usage 1.190 GB -> 95.922 MB.
[2025-06-19T04:37:40.176Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:37:44.679Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:37:50.216Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:37:54.644Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:37:56.215Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:37:58.694Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:38:05.478Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:38:07.222Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:38:07.981Z] 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.
[2025-06-19T04:38:07.981Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:38:07.981Z] Top recommended movies for user id 72:
[2025-06-19T04:38:07.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:38:07.981Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:38:07.981Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:38:07.981Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:38:07.981Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:38:07.981Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (31923.388 ms) ======
[2025-06-19T04:38:07.981Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-19T04:38:07.981Z] GC before operation: completed in 215.948 ms, heap usage 988.342 MB -> 95.145 MB.
[2025-06-19T04:38:12.386Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:38:15.772Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:38:21.319Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:38:24.696Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:38:27.200Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:38:28.772Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:38:32.166Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:38:34.631Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:38:34.631Z] 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.
[2025-06-19T04:38:34.631Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:38:35.395Z] Top recommended movies for user id 72:
[2025-06-19T04:38:35.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:38:35.395Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:38:35.395Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:38:35.395Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:38:35.395Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:38:35.395Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26946.041 ms) ======
[2025-06-19T04:38:35.395Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-19T04:38:35.395Z] GC before operation: completed in 215.373 ms, heap usage 2.361 GB -> 97.481 MB.
[2025-06-19T04:38:38.771Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:38:43.186Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:38:48.725Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:38:52.103Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:38:54.545Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:38:56.983Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:39:06.743Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:39:08.317Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:39:09.095Z] 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.
[2025-06-19T04:39:09.095Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:39:09.095Z] Top recommended movies for user id 72:
[2025-06-19T04:39:09.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:39:09.095Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:39:09.095Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:39:09.095Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:39:09.095Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:39:09.095Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (33892.952 ms) ======
[2025-06-19T04:39:09.095Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-19T04:39:09.095Z] GC before operation: completed in 203.720 ms, heap usage 1.194 GB -> 95.843 MB.
[2025-06-19T04:39:13.496Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:39:20.332Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:39:30.090Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:39:33.474Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:39:35.913Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:39:38.381Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:39:41.754Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:39:44.204Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:39:44.962Z] 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.
[2025-06-19T04:39:44.962Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:39:44.962Z] Top recommended movies for user id 72:
[2025-06-19T04:39:44.962Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:39:44.962Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:39:44.962Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:39:44.962Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:39:44.962Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:39:44.962Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (35527.136 ms) ======
[2025-06-19T04:39:44.962Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-19T04:39:44.962Z] GC before operation: completed in 190.237 ms, heap usage 701.124 MB -> 94.983 MB.
[2025-06-19T04:39:48.339Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:39:53.903Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:40:00.689Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:40:05.277Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:40:07.713Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:40:10.156Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:40:15.733Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:40:17.303Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:40:17.303Z] 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.
[2025-06-19T04:40:17.303Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:40:18.065Z] Top recommended movies for user id 72:
[2025-06-19T04:40:18.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:40:18.065Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:40:18.065Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:40:18.065Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:40:18.065Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:40:18.065Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (32661.240 ms) ======
[2025-06-19T04:40:18.065Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-19T04:40:18.065Z] GC before operation: completed in 203.325 ms, heap usage 929.270 MB -> 94.896 MB.
[2025-06-19T04:40:22.465Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:40:26.880Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:40:35.088Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:40:38.476Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:40:40.944Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:40:43.384Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:40:50.177Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:40:52.673Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:40:52.673Z] 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.
[2025-06-19T04:40:52.673Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:40:52.673Z] Top recommended movies for user id 72:
[2025-06-19T04:40:52.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:40:52.673Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:40:52.673Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:40:52.674Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:40:52.674Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:40:52.674Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (34811.554 ms) ======
[2025-06-19T04:40:52.674Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-19T04:40:52.674Z] GC before operation: completed in 209.263 ms, heap usage 931.231 MB -> 95.141 MB.
[2025-06-19T04:40:57.112Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:41:01.575Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:41:08.835Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:41:13.260Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:41:14.850Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:41:17.295Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:41:21.700Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:41:24.146Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:41:24.146Z] 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.
[2025-06-19T04:41:24.146Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:41:24.906Z] Top recommended movies for user id 72:
[2025-06-19T04:41:24.906Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:41:24.906Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:41:24.906Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:41:24.906Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:41:24.906Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:41:24.906Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (31566.059 ms) ======
[2025-06-19T04:41:24.906Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-19T04:41:24.906Z] GC before operation: completed in 184.939 ms, heap usage 118.754 MB -> 96.441 MB.
[2025-06-19T04:41:29.308Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:41:33.874Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:41:43.665Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:41:47.053Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:41:49.497Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:41:51.080Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:41:57.868Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:42:00.317Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:42:01.076Z] 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.
[2025-06-19T04:42:01.076Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:42:01.076Z] Top recommended movies for user id 72:
[2025-06-19T04:42:01.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:42:01.076Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:42:01.076Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:42:01.076Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:42:01.076Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:42:01.076Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (36342.654 ms) ======
[2025-06-19T04:42:01.076Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-19T04:42:01.076Z] GC before operation: completed in 200.022 ms, heap usage 2.110 GB -> 97.414 MB.
[2025-06-19T04:42:05.484Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:42:10.248Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:42:20.066Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:42:23.460Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:42:25.901Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:42:28.363Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:42:35.137Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:42:37.572Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:42:37.572Z] 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.
[2025-06-19T04:42:37.572Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:42:38.335Z] Top recommended movies for user id 72:
[2025-06-19T04:42:38.335Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:42:38.335Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:42:38.335Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:42:38.335Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:42:38.335Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:42:38.335Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (36783.364 ms) ======
[2025-06-19T04:42:38.335Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-19T04:42:38.335Z] GC before operation: completed in 209.041 ms, heap usage 3.225 GB -> 97.808 MB.
[2025-06-19T04:42:41.706Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:42:46.133Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:42:55.953Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:43:00.394Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:43:02.844Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:43:04.435Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:43:08.834Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:43:11.327Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:43:11.327Z] 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.
[2025-06-19T04:43:11.327Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:43:12.086Z] Top recommended movies for user id 72:
[2025-06-19T04:43:12.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:43:12.086Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:43:12.086Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:43:12.086Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:43:12.086Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:43:12.086Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (33435.484 ms) ======
[2025-06-19T04:43:12.086Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-19T04:43:12.086Z] GC before operation: completed in 204.836 ms, heap usage 2.512 GB -> 97.517 MB.
[2025-06-19T04:43:15.470Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:43:19.890Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:43:28.102Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:43:30.535Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:43:32.977Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:43:35.426Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:43:40.967Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:43:43.416Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:43:43.416Z] 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.
[2025-06-19T04:43:44.176Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:43:44.176Z] Top recommended movies for user id 72:
[2025-06-19T04:43:44.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:43:44.176Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:43:44.176Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:43:44.176Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:43:44.176Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:43:44.176Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (32101.800 ms) ======
[2025-06-19T04:43:44.176Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-19T04:43:44.176Z] GC before operation: completed in 198.471 ms, heap usage 270.998 MB -> 91.439 MB.
[2025-06-19T04:43:48.598Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:43:52.001Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:43:56.408Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:43:59.802Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:44:02.249Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:44:04.686Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:44:07.125Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:44:09.935Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:44:09.935Z] 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.
[2025-06-19T04:44:09.935Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:44:09.935Z] Top recommended movies for user id 72:
[2025-06-19T04:44:09.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:44:09.935Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:44:09.935Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:44:09.935Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:44:09.935Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:44:09.935Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25686.189 ms) ======
[2025-06-19T04:44:09.935Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-19T04:44:10.734Z] GC before operation: completed in 221.808 ms, heap usage 1.801 GB -> 96.986 MB.
[2025-06-19T04:44:14.138Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:44:17.527Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:44:21.942Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:44:26.367Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:44:27.935Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:44:29.518Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:44:32.945Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:44:35.438Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:44:35.438Z] 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.
[2025-06-19T04:44:35.438Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:44:36.200Z] Top recommended movies for user id 72:
[2025-06-19T04:44:36.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:44:36.200Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:44:36.200Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:44:36.200Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:44:36.200Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:44:36.200Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (25815.709 ms) ======
[2025-06-19T04:44:36.200Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-19T04:44:36.200Z] GC before operation: completed in 215.278 ms, heap usage 1.447 GB -> 96.480 MB.
[2025-06-19T04:44:39.591Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-19T04:44:42.969Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-19T04:44:51.171Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-19T04:44:54.552Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-19T04:44:56.120Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-19T04:44:58.587Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-19T04:45:01.047Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-19T04:45:03.520Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-19T04:45:04.296Z] 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.
[2025-06-19T04:45:04.296Z] The best model improves the baseline by 14.43%.
[2025-06-19T04:45:04.296Z] Top recommended movies for user id 72:
[2025-06-19T04:45:04.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-19T04:45:04.296Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-19T04:45:04.296Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-19T04:45:04.296Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-19T04:45:04.296Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-19T04:45:04.296Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (28198.614 ms) ======
[2025-06-19T04:45:05.054Z] -----------------------------------
[2025-06-19T04:45:05.054Z] renaissance-movie-lens_0_PASSED
[2025-06-19T04:45:05.054Z] -----------------------------------
[2025-06-19T04:45:05.054Z]
[2025-06-19T04:45:05.054Z] TEST TEARDOWN:
[2025-06-19T04:45:05.054Z] Nothing to be done for teardown.
[2025-06-19T04:45:05.054Z] renaissance-movie-lens_0 Finish Time: Thu Jun 19 04:45:04 2025 Epoch Time (ms): 1750308304630