renaissance-movie-lens_0
[2025-11-06T05:47:35.958Z] Running test renaissance-movie-lens_0 ...
[2025-11-06T05:47:35.958Z] ===============================================
[2025-11-06T05:47:35.958Z] renaissance-movie-lens_0 Start Time: Thu Nov 6 05:47:35 2025 Epoch Time (ms): 1762408055282
[2025-11-06T05:47:35.958Z] variation: NoOptions
[2025-11-06T05:47:35.958Z] JVM_OPTIONS:
[2025-11-06T05:47:35.958Z] { \
[2025-11-06T05:47:35.958Z] echo ""; echo "TEST SETUP:"; \
[2025-11-06T05:47:35.958Z] echo "Nothing to be done for setup."; \
[2025-11-06T05:47:35.958Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17624063969902/renaissance-movie-lens_0"; \
[2025-11-06T05:47:35.958Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17624063969902/renaissance-movie-lens_0"; \
[2025-11-06T05:47:35.958Z] echo ""; echo "TESTING:"; \
[2025-11-06T05:47:35.958Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17624063969902/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-06T05:47:35.958Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17624063969902/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-06T05:47:35.958Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-06T05:47:35.958Z] echo "Nothing to be done for teardown."; \
[2025-11-06T05:47:35.958Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17624063969902/TestTargetResult";
[2025-11-06T05:47:35.958Z]
[2025-11-06T05:47:35.958Z] TEST SETUP:
[2025-11-06T05:47:35.958Z] Nothing to be done for setup.
[2025-11-06T05:47:35.958Z]
[2025-11-06T05:47:35.958Z] TESTING:
[2025-11-06T05:47:44.291Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads.
[2025-11-06T05:47:58.151Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-06T05:47:58.151Z] Training: 60056, validation: 20285, test: 19854
[2025-11-06T05:47:58.151Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-06T05:47:58.151Z] GC before operation: completed in 196.578 ms, heap usage 651.225 MB -> 75.497 MB.
[2025-11-06T05:48:05.078Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:48:09.586Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:48:14.093Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:48:17.541Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:48:20.032Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:48:22.534Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:48:25.036Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:48:27.529Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:48:27.529Z] 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.
[2025-11-06T05:48:27.529Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:48:27.529Z] Top recommended movies for user id 72:
[2025-11-06T05:48:27.529Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:48:27.529Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:48:27.529Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:48:27.529Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:48:27.529Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:48:27.529Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29698.180 ms) ======
[2025-11-06T05:48:27.529Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-06T05:48:28.306Z] GC before operation: completed in 202.411 ms, heap usage 393.123 MB -> 90.706 MB.
[2025-11-06T05:48:31.758Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:48:36.256Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:48:39.710Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:48:43.158Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:48:45.657Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:48:48.151Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:48:49.758Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:48:52.256Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:48:53.034Z] 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.
[2025-11-06T05:48:53.034Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:48:53.034Z] Top recommended movies for user id 72:
[2025-11-06T05:48:53.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:48:53.034Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:48:53.034Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:48:53.034Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:48:53.034Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:48:53.034Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24977.848 ms) ======
[2025-11-06T05:48:53.034Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-06T05:48:53.034Z] GC before operation: completed in 217.718 ms, heap usage 605.781 MB -> 94.193 MB.
[2025-11-06T05:48:57.547Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:49:00.998Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:49:04.453Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:49:07.906Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:49:10.395Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:49:12.008Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:49:14.513Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:49:17.007Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:49:17.007Z] 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.
[2025-11-06T05:49:17.007Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:49:17.007Z] Top recommended movies for user id 72:
[2025-11-06T05:49:17.007Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:49:17.007Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:49:17.007Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:49:17.007Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:49:17.007Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:49:17.007Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24066.210 ms) ======
[2025-11-06T05:49:17.007Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-06T05:49:17.784Z] GC before operation: completed in 219.482 ms, heap usage 799.813 MB -> 95.261 MB.
[2025-11-06T05:49:21.233Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:49:24.685Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:49:28.141Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:49:31.592Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:49:34.084Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:49:36.577Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:49:39.078Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:49:40.726Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:49:41.507Z] 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.
[2025-11-06T05:49:41.507Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:49:41.507Z] Top recommended movies for user id 72:
[2025-11-06T05:49:41.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:49:41.507Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:49:41.507Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:49:41.507Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:49:41.507Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:49:41.507Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23911.228 ms) ======
[2025-11-06T05:49:41.507Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-06T05:49:41.507Z] GC before operation: completed in 201.561 ms, heap usage 245.142 MB -> 91.676 MB.
[2025-11-06T05:49:46.007Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:49:48.498Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:49:53.007Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:49:56.463Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:49:58.250Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:49:59.854Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:50:02.343Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:50:04.847Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:50:04.847Z] 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.
[2025-11-06T05:50:04.847Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:50:04.847Z] Top recommended movies for user id 72:
[2025-11-06T05:50:04.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:50:04.847Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:50:04.847Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:50:04.847Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:50:04.847Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:50:04.847Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23483.395 ms) ======
[2025-11-06T05:50:04.847Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-06T05:50:05.622Z] GC before operation: completed in 232.141 ms, heap usage 571.361 MB -> 91.961 MB.
[2025-11-06T05:50:09.079Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:50:12.540Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:50:16.002Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:50:19.495Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:50:22.007Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:50:23.633Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:50:26.125Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:50:28.632Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:50:28.632Z] 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.
[2025-11-06T05:50:28.632Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:50:28.632Z] Top recommended movies for user id 72:
[2025-11-06T05:50:28.632Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:50:28.632Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:50:28.632Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:50:28.632Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:50:28.632Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:50:28.632Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23600.019 ms) ======
[2025-11-06T05:50:28.632Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-06T05:50:29.410Z] GC before operation: completed in 206.917 ms, heap usage 512.929 MB -> 92.277 MB.
[2025-11-06T05:50:32.863Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:50:36.317Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:50:40.838Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:50:43.333Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:50:45.824Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:50:48.319Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:50:49.936Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:50:52.472Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:50:52.472Z] 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.
[2025-11-06T05:50:52.472Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:50:53.251Z] Top recommended movies for user id 72:
[2025-11-06T05:50:53.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:50:53.251Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:50:53.251Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:50:53.251Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:50:53.251Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:50:53.251Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23894.988 ms) ======
[2025-11-06T05:50:53.251Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-06T05:50:53.251Z] GC before operation: completed in 216.682 ms, heap usage 232.503 MB -> 91.974 MB.
[2025-11-06T05:50:56.712Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:51:00.178Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:51:04.693Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:51:07.199Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:51:09.701Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:51:12.197Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:51:13.808Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:51:16.318Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:51:16.319Z] 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.
[2025-11-06T05:51:16.319Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:51:17.100Z] Top recommended movies for user id 72:
[2025-11-06T05:51:17.100Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:51:17.100Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:51:17.100Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:51:17.100Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:51:17.100Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:51:17.100Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23553.867 ms) ======
[2025-11-06T05:51:17.100Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-06T05:51:17.100Z] GC before operation: completed in 208.815 ms, heap usage 415.472 MB -> 92.363 MB.
[2025-11-06T05:51:20.566Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:51:24.021Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:51:28.524Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:51:31.016Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:51:33.519Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:51:36.024Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:51:37.629Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:51:40.220Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:51:40.220Z] 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.
[2025-11-06T05:51:40.220Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:51:40.220Z] Top recommended movies for user id 72:
[2025-11-06T05:51:40.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:51:40.220Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:51:40.220Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:51:40.220Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:51:40.220Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:51:40.220Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23525.679 ms) ======
[2025-11-06T05:51:40.220Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-06T05:51:40.997Z] GC before operation: completed in 223.640 ms, heap usage 560.939 MB -> 92.278 MB.
[2025-11-06T05:51:44.469Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:51:47.961Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:51:51.453Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:51:54.934Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:51:57.451Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:51:59.079Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:52:01.601Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:52:04.311Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:52:04.311Z] 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.
[2025-11-06T05:52:04.311Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:52:04.311Z] Top recommended movies for user id 72:
[2025-11-06T05:52:04.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:52:04.311Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:52:04.311Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:52:04.311Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:52:04.311Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:52:04.311Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23572.016 ms) ======
[2025-11-06T05:52:04.311Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-06T05:52:04.311Z] GC before operation: completed in 226.178 ms, heap usage 294.639 MB -> 92.271 MB.
[2025-11-06T05:52:08.859Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:52:12.337Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:52:15.816Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:52:19.325Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:52:20.950Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:52:23.480Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:52:26.009Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:52:27.634Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:52:28.417Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-11-06T05:52:28.417Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:52:28.417Z] Top recommended movies for user id 72:
[2025-11-06T05:52:28.417Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:52:28.417Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:52:28.417Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:52:28.417Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:52:28.417Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:52:28.417Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23735.756 ms) ======
[2025-11-06T05:52:28.417Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-06T05:52:28.417Z] GC before operation: completed in 218.354 ms, heap usage 465.070 MB -> 92.077 MB.
[2025-11-06T05:52:31.896Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:52:36.458Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:52:39.937Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:52:43.415Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:52:45.054Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:52:47.574Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:52:49.195Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:52:51.735Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:52:51.735Z] 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.
[2025-11-06T05:52:51.735Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:52:52.528Z] Top recommended movies for user id 72:
[2025-11-06T05:52:52.528Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:52:52.528Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:52:52.528Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:52:52.528Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:52:52.528Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:52:52.528Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23681.193 ms) ======
[2025-11-06T05:52:52.528Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-06T05:52:52.528Z] GC before operation: completed in 216.328 ms, heap usage 412.690 MB -> 92.347 MB.
[2025-11-06T05:52:56.006Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:52:59.483Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:53:02.972Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:53:06.452Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:53:08.968Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:53:11.480Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:53:13.097Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:53:15.607Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:53:15.607Z] 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.
[2025-11-06T05:53:15.607Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:53:16.394Z] Top recommended movies for user id 72:
[2025-11-06T05:53:16.394Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:53:16.394Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:53:16.394Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:53:16.394Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:53:16.394Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:53:16.394Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23675.174 ms) ======
[2025-11-06T05:53:16.394Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-06T05:53:16.394Z] GC before operation: completed in 205.911 ms, heap usage 803.784 MB -> 96.079 MB.
[2025-11-06T05:53:19.869Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:53:23.366Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:53:27.907Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:53:30.422Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:53:32.935Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:53:35.458Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:53:37.073Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:53:39.589Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:53:39.589Z] 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.
[2025-11-06T05:53:39.589Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:53:39.589Z] Top recommended movies for user id 72:
[2025-11-06T05:53:39.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:53:39.589Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:53:39.589Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:53:39.589Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:53:39.589Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:53:39.589Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23620.178 ms) ======
[2025-11-06T05:53:39.589Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-06T05:53:40.374Z] GC before operation: completed in 234.771 ms, heap usage 441.856 MB -> 92.246 MB.
[2025-11-06T05:53:43.877Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:53:47.349Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:53:50.824Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:53:54.295Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:53:56.814Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:53:59.327Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:54:00.949Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:54:03.488Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:54:03.488Z] 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.
[2025-11-06T05:54:03.488Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:54:04.271Z] Top recommended movies for user id 72:
[2025-11-06T05:54:04.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:54:04.271Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:54:04.271Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:54:04.271Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:54:04.271Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:54:04.271Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23718.065 ms) ======
[2025-11-06T05:54:04.271Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-06T05:54:04.271Z] GC before operation: completed in 219.804 ms, heap usage 1.076 GB -> 96.402 MB.
[2025-11-06T05:54:07.747Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:54:11.236Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:54:15.771Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:54:19.254Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:54:20.876Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:54:23.387Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:54:25.916Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:54:27.544Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:54:28.328Z] 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.
[2025-11-06T05:54:28.328Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:54:28.328Z] Top recommended movies for user id 72:
[2025-11-06T05:54:28.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:54:28.328Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:54:28.328Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:54:28.328Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:54:28.328Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:54:28.328Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (24039.827 ms) ======
[2025-11-06T05:54:28.328Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-06T05:54:28.328Z] GC before operation: completed in 261.792 ms, heap usage 897.223 MB -> 96.039 MB.
[2025-11-06T05:54:31.808Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:54:35.291Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:54:39.827Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:54:42.345Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:54:44.859Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:54:47.379Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:54:48.998Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:54:51.523Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:54:51.523Z] 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.
[2025-11-06T05:54:51.523Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:54:52.308Z] Top recommended movies for user id 72:
[2025-11-06T05:54:52.308Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:54:52.308Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:54:52.308Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:54:52.308Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:54:52.308Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:54:52.308Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23517.670 ms) ======
[2025-11-06T05:54:52.308Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-06T05:54:52.308Z] GC before operation: completed in 229.258 ms, heap usage 514.636 MB -> 92.559 MB.
[2025-11-06T05:54:55.785Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:54:59.475Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:55:02.962Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:55:06.434Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:55:08.961Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:55:10.578Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:55:13.101Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:55:14.721Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:55:15.511Z] 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.
[2025-11-06T05:55:15.511Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:55:15.511Z] Top recommended movies for user id 72:
[2025-11-06T05:55:15.511Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:55:15.511Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:55:15.511Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:55:15.511Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:55:15.511Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:55:15.511Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23408.581 ms) ======
[2025-11-06T05:55:15.511Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-06T05:55:15.511Z] GC before operation: completed in 182.416 ms, heap usage 495.002 MB -> 92.403 MB.
[2025-11-06T05:55:20.036Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:55:22.555Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:55:27.100Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:55:29.621Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:55:32.159Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:55:34.667Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:55:36.286Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:55:38.803Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:55:38.803Z] 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.
[2025-11-06T05:55:38.803Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:55:38.803Z] Top recommended movies for user id 72:
[2025-11-06T05:55:38.803Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:55:38.803Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:55:38.803Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:55:38.803Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:55:38.803Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:55:38.803Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23292.345 ms) ======
[2025-11-06T05:55:38.803Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-06T05:55:39.586Z] GC before operation: completed in 237.281 ms, heap usage 912.362 MB -> 96.118 MB.
[2025-11-06T05:55:43.065Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T05:55:46.552Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T05:55:50.033Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T05:55:53.526Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T05:55:55.153Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T05:55:57.670Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T05:55:59.287Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T05:56:01.796Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T05:56:01.796Z] 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.
[2025-11-06T05:56:01.796Z] The best model improves the baseline by 14.43%.
[2025-11-06T05:56:02.579Z] Top recommended movies for user id 72:
[2025-11-06T05:56:02.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-11-06T05:56:02.579Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-11-06T05:56:02.579Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-11-06T05:56:02.579Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-11-06T05:56:02.579Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-11-06T05:56:02.579Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23056.334 ms) ======
[2025-11-06T05:56:03.363Z] -----------------------------------
[2025-11-06T05:56:03.363Z] renaissance-movie-lens_0_PASSED
[2025-11-06T05:56:03.363Z] -----------------------------------
[2025-11-06T05:56:03.363Z]
[2025-11-06T05:56:03.363Z] TEST TEARDOWN:
[2025-11-06T05:56:03.363Z] Nothing to be done for teardown.
[2025-11-06T05:56:03.363Z] renaissance-movie-lens_0 Finish Time: Thu Nov 6 05:56:02 2025 Epoch Time (ms): 1762408562589