renaissance-movie-lens_0
[2025-08-30T01:19:03.870Z] Running test renaissance-movie-lens_0 ...
[2025-08-30T01:19:03.870Z] ===============================================
[2025-08-30T01:19:03.870Z] renaissance-movie-lens_0 Start Time: Sat Aug 30 01:19:03 2025 Epoch Time (ms): 1756516743335
[2025-08-30T01:19:03.870Z] variation: NoOptions
[2025-08-30T01:19:03.870Z] JVM_OPTIONS:
[2025-08-30T01:19:03.870Z] { \
[2025-08-30T01:19:03.870Z] echo ""; echo "TEST SETUP:"; \
[2025-08-30T01:19:03.870Z] echo "Nothing to be done for setup."; \
[2025-08-30T01:19:03.870Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17565154209047/renaissance-movie-lens_0"; \
[2025-08-30T01:19:03.870Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17565154209047/renaissance-movie-lens_0"; \
[2025-08-30T01:19:03.870Z] echo ""; echo "TESTING:"; \
[2025-08-30T01:19:03.870Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17565154209047/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-30T01:19:03.870Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17565154209047/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-30T01:19:03.870Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-30T01:19:03.870Z] echo "Nothing to be done for teardown."; \
[2025-08-30T01:19:03.870Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17565154209047/TestTargetResult";
[2025-08-30T01:19:03.870Z]
[2025-08-30T01:19:03.870Z] TEST SETUP:
[2025-08-30T01:19:03.870Z] Nothing to be done for setup.
[2025-08-30T01:19:03.870Z]
[2025-08-30T01:19:03.870Z] TESTING:
[2025-08-30T01:19:10.821Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-08-30T01:19:22.611Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-30T01:19:22.611Z] Training: 60056, validation: 20285, test: 19854
[2025-08-30T01:19:22.611Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-30T01:19:22.611Z] GC before operation: completed in 145.459 ms, heap usage 451.515 MB -> 75.615 MB.
[2025-08-30T01:19:28.277Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:19:30.774Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:19:34.718Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:19:38.210Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:19:39.816Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:19:42.330Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:19:43.944Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:19:46.452Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:19:46.452Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-08-30T01:19:46.452Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:19:46.452Z] Top recommended movies for user id 72:
[2025-08-30T01:19:46.452Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:19:46.452Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:19:46.452Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:19:46.452Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:19:46.452Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:19:46.452Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24479.869 ms) ======
[2025-08-30T01:19:46.452Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-30T01:19:47.230Z] GC before operation: completed in 175.570 ms, heap usage 312.011 MB -> 87.125 MB.
[2025-08-30T01:19:49.741Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:19:53.199Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:19:56.667Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:20:00.152Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:20:01.762Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:20:03.371Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:20:05.870Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:20:07.474Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:20:08.259Z] 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.
[2025-08-30T01:20:08.259Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:20:08.259Z] Top recommended movies for user id 72:
[2025-08-30T01:20:08.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:20:08.260Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:20:08.260Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:20:08.260Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:20:08.260Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:20:08.260Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21154.779 ms) ======
[2025-08-30T01:20:08.260Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-30T01:20:08.260Z] GC before operation: completed in 157.723 ms, heap usage 1.352 GB -> 95.215 MB.
[2025-08-30T01:20:11.719Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:20:15.175Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:20:17.716Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:20:21.175Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:20:22.786Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:20:25.289Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:20:26.900Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:20:28.513Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:20:29.295Z] 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.
[2025-08-30T01:20:29.295Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:20:29.295Z] Top recommended movies for user id 72:
[2025-08-30T01:20:29.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:20:29.295Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:20:29.295Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:20:29.295Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:20:29.295Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:20:29.295Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21023.284 ms) ======
[2025-08-30T01:20:29.295Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-30T01:20:29.295Z] GC before operation: completed in 170.483 ms, heap usage 327.161 MB -> 90.758 MB.
[2025-08-30T01:20:32.505Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:20:35.976Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:20:38.472Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:20:41.934Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:20:43.542Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:20:46.040Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:20:47.654Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:20:49.283Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:20:49.283Z] 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.
[2025-08-30T01:20:49.283Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:20:49.283Z] Top recommended movies for user id 72:
[2025-08-30T01:20:49.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:20:49.283Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:20:49.283Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:20:49.283Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:20:49.283Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:20:49.283Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20045.953 ms) ======
[2025-08-30T01:20:49.283Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-30T01:20:50.063Z] GC before operation: completed in 170.936 ms, heap usage 914.225 MB -> 95.024 MB.
[2025-08-30T01:20:52.557Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:20:56.020Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:20:58.526Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:21:01.991Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:21:03.599Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:21:05.208Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:21:06.830Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:21:08.444Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:21:08.444Z] 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.
[2025-08-30T01:21:08.444Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:21:09.229Z] Top recommended movies for user id 72:
[2025-08-30T01:21:09.229Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:21:09.229Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:21:09.229Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:21:09.229Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:21:09.229Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:21:09.229Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19182.154 ms) ======
[2025-08-30T01:21:09.229Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-30T01:21:09.229Z] GC before operation: completed in 167.885 ms, heap usage 2.273 GB -> 97.181 MB.
[2025-08-30T01:21:11.729Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:21:15.185Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:21:17.688Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:21:21.167Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:21:22.782Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:21:24.401Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:21:26.022Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:21:28.035Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:21:28.035Z] 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.
[2025-08-30T01:21:28.035Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:21:28.035Z] Top recommended movies for user id 72:
[2025-08-30T01:21:28.035Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:21:28.035Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:21:28.035Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:21:28.035Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:21:28.035Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:21:28.035Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19012.275 ms) ======
[2025-08-30T01:21:28.035Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-30T01:21:28.035Z] GC before operation: completed in 151.029 ms, heap usage 854.541 MB -> 95.173 MB.
[2025-08-30T01:21:31.501Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:21:34.011Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:21:37.493Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:21:41.008Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:21:42.620Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:21:44.235Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:21:46.746Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:21:48.358Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:21:48.358Z] 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.
[2025-08-30T01:21:48.358Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:21:48.358Z] Top recommended movies for user id 72:
[2025-08-30T01:21:48.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:21:48.358Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:21:48.358Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:21:48.358Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:21:48.358Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:21:48.358Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20328.668 ms) ======
[2025-08-30T01:21:48.358Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-30T01:21:48.358Z] GC before operation: completed in 138.647 ms, heap usage 312.752 MB -> 91.083 MB.
[2025-08-30T01:21:51.946Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:21:54.444Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:21:57.899Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:22:01.381Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:22:02.987Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:22:04.767Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:22:07.271Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:22:08.883Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:22:08.883Z] 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.
[2025-08-30T01:22:08.883Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:22:08.883Z] Top recommended movies for user id 72:
[2025-08-30T01:22:08.883Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:22:08.883Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:22:08.883Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:22:08.883Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:22:08.883Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:22:08.883Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20516.152 ms) ======
[2025-08-30T01:22:08.883Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-30T01:22:09.665Z] GC before operation: completed in 153.337 ms, heap usage 156.646 MB -> 91.282 MB.
[2025-08-30T01:22:12.162Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:22:15.620Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:22:19.078Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:22:22.539Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:22:24.863Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:22:25.644Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:22:27.258Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:22:29.764Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:22:29.764Z] 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.
[2025-08-30T01:22:29.764Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:22:29.764Z] Top recommended movies for user id 72:
[2025-08-30T01:22:29.764Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:22:29.764Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:22:29.764Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:22:29.764Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:22:29.764Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:22:29.764Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20526.501 ms) ======
[2025-08-30T01:22:29.764Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-30T01:22:29.764Z] GC before operation: completed in 146.425 ms, heap usage 2.303 GB -> 97.469 MB.
[2025-08-30T01:22:33.238Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:22:35.743Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:22:39.209Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:22:41.712Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:22:43.319Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:22:45.826Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:22:47.439Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:22:49.080Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:22:49.080Z] 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.
[2025-08-30T01:22:49.080Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:22:49.080Z] Top recommended movies for user id 72:
[2025-08-30T01:22:49.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:22:49.080Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:22:49.080Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:22:49.080Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:22:49.080Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:22:49.080Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19403.223 ms) ======
[2025-08-30T01:22:49.080Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-30T01:22:49.860Z] GC before operation: completed in 136.120 ms, heap usage 482.804 MB -> 91.597 MB.
[2025-08-30T01:22:52.364Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:22:55.837Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:22:59.314Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:23:01.811Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:23:04.309Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:23:05.915Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:23:07.525Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:23:10.025Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:23:10.025Z] 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.
[2025-08-30T01:23:10.025Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:23:10.025Z] Top recommended movies for user id 72:
[2025-08-30T01:23:10.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:23:10.025Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:23:10.025Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:23:10.025Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:23:10.025Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:23:10.025Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20718.623 ms) ======
[2025-08-30T01:23:10.025Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-30T01:23:10.819Z] GC before operation: completed in 129.424 ms, heap usage 311.113 MB -> 91.203 MB.
[2025-08-30T01:23:13.318Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:23:16.785Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:23:19.290Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:23:22.204Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:23:23.821Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:23:25.433Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:23:27.942Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:23:29.566Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:23:29.566Z] 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.
[2025-08-30T01:23:29.566Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:23:29.566Z] Top recommended movies for user id 72:
[2025-08-30T01:23:29.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:23:29.566Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:23:29.566Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:23:29.566Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:23:29.566Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:23:29.566Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19464.271 ms) ======
[2025-08-30T01:23:29.566Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-30T01:23:30.347Z] GC before operation: completed in 125.731 ms, heap usage 316.528 MB -> 91.592 MB.
[2025-08-30T01:23:32.854Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:23:36.324Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:23:39.786Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:23:42.284Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:23:44.788Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:23:46.396Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:23:48.010Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:23:50.508Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:23:50.508Z] 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.
[2025-08-30T01:23:50.508Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:23:50.508Z] Top recommended movies for user id 72:
[2025-08-30T01:23:50.508Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:23:50.508Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:23:50.508Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:23:50.508Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:23:50.508Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:23:50.508Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20526.376 ms) ======
[2025-08-30T01:23:50.508Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-30T01:23:50.508Z] GC before operation: completed in 137.293 ms, heap usage 611.343 MB -> 92.065 MB.
[2025-08-30T01:23:53.975Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:23:56.471Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:23:59.945Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:24:02.451Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:24:04.067Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:24:06.572Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:24:08.195Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:24:09.819Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:24:10.597Z] 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.
[2025-08-30T01:24:10.598Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:24:10.598Z] Top recommended movies for user id 72:
[2025-08-30T01:24:10.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:24:10.598Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:24:10.598Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:24:10.598Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:24:10.598Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:24:10.598Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19941.900 ms) ======
[2025-08-30T01:24:10.598Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-30T01:24:10.598Z] GC before operation: completed in 129.575 ms, heap usage 103.654 MB -> 91.068 MB.
[2025-08-30T01:24:14.067Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:24:16.571Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:24:19.784Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:24:23.254Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:24:24.868Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:24:26.488Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:24:28.989Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:24:30.604Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:24:30.604Z] 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.
[2025-08-30T01:24:30.604Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:24:31.386Z] Top recommended movies for user id 72:
[2025-08-30T01:24:31.386Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:24:31.386Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:24:31.386Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:24:31.386Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:24:31.386Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:24:31.386Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20328.503 ms) ======
[2025-08-30T01:24:31.386Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-30T01:24:31.386Z] GC before operation: completed in 158.775 ms, heap usage 384.070 MB -> 91.660 MB.
[2025-08-30T01:24:33.890Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:24:37.351Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:24:40.811Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:24:43.324Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:24:45.826Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:24:47.436Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:24:49.054Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:24:50.672Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:24:51.461Z] 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.
[2025-08-30T01:24:51.461Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:24:51.461Z] Top recommended movies for user id 72:
[2025-08-30T01:24:51.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:24:51.461Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:24:51.461Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:24:51.461Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:24:51.461Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:24:51.461Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (20361.907 ms) ======
[2025-08-30T01:24:51.461Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-30T01:24:51.461Z] GC before operation: completed in 133.041 ms, heap usage 273.133 MB -> 91.384 MB.
[2025-08-30T01:24:54.920Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:24:57.432Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:25:00.897Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:25:04.369Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:25:05.978Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:25:07.589Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:25:09.199Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:25:11.706Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:25:11.706Z] 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.
[2025-08-30T01:25:11.706Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:25:11.706Z] Top recommended movies for user id 72:
[2025-08-30T01:25:11.706Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:25:11.706Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:25:11.706Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:25:11.706Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:25:11.706Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:25:11.706Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20201.431 ms) ======
[2025-08-30T01:25:11.706Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-30T01:25:11.706Z] GC before operation: completed in 138.769 ms, heap usage 178.676 MB -> 91.562 MB.
[2025-08-30T01:25:15.708Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:25:18.206Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:25:21.680Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:25:24.184Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:25:26.707Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:25:28.337Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:25:29.946Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:25:31.572Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:25:32.351Z] 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.
[2025-08-30T01:25:32.351Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:25:32.351Z] Top recommended movies for user id 72:
[2025-08-30T01:25:32.351Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:25:32.351Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:25:32.351Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:25:32.351Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:25:32.351Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:25:32.351Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20315.907 ms) ======
[2025-08-30T01:25:32.351Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-30T01:25:32.351Z] GC before operation: completed in 140.369 ms, heap usage 1.195 GB -> 96.166 MB.
[2025-08-30T01:25:35.851Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:25:38.409Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:25:41.881Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:25:45.368Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:25:46.979Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:25:48.593Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:25:50.204Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:25:52.725Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:25:52.725Z] 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.
[2025-08-30T01:25:52.725Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:25:52.725Z] Top recommended movies for user id 72:
[2025-08-30T01:25:52.725Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:25:52.725Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:25:52.725Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:25:52.725Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:25:52.725Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:25:52.725Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (20432.630 ms) ======
[2025-08-30T01:25:52.725Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-30T01:25:53.519Z] GC before operation: completed in 156.194 ms, heap usage 154.986 MB -> 91.332 MB.
[2025-08-30T01:25:56.017Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-30T01:25:59.479Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-30T01:26:02.936Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-30T01:26:05.447Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-30T01:26:07.948Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-30T01:26:09.571Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-30T01:26:11.180Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-30T01:26:13.143Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-30T01:26:13.143Z] 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.
[2025-08-30T01:26:13.922Z] The best model improves the baseline by 14.43%.
[2025-08-30T01:26:13.922Z] Top recommended movies for user id 72:
[2025-08-30T01:26:13.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-08-30T01:26:13.922Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-08-30T01:26:13.922Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-08-30T01:26:13.922Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-08-30T01:26:13.922Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-08-30T01:26:13.922Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20595.371 ms) ======
[2025-08-30T01:26:13.922Z] -----------------------------------
[2025-08-30T01:26:13.922Z] renaissance-movie-lens_0_PASSED
[2025-08-30T01:26:13.922Z] -----------------------------------
[2025-08-30T01:26:13.922Z]
[2025-08-30T01:26:13.922Z] TEST TEARDOWN:
[2025-08-30T01:26:13.922Z] Nothing to be done for teardown.
[2025-08-30T01:26:14.704Z] renaissance-movie-lens_0 Finish Time: Sat Aug 30 01:26:13 2025 Epoch Time (ms): 1756517173845