renaissance-movie-lens_0
[2025-04-15T23:07:47.705Z] Running test renaissance-movie-lens_0 ...
[2025-04-15T23:07:47.705Z] ===============================================
[2025-04-15T23:07:47.705Z] renaissance-movie-lens_0 Start Time: Tue Apr 15 18:07:46 2025 Epoch Time (ms): 1744758466886
[2025-04-15T23:07:47.705Z] variation: NoOptions
[2025-04-15T23:07:47.705Z] JVM_OPTIONS:
[2025-04-15T23:07:47.705Z] { \
[2025-04-15T23:07:47.705Z] echo ""; echo "TEST SETUP:"; \
[2025-04-15T23:07:47.705Z] echo "Nothing to be done for setup."; \
[2025-04-15T23:07:47.705Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17447573355473/renaissance-movie-lens_0"; \
[2025-04-15T23:07:47.705Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17447573355473/renaissance-movie-lens_0"; \
[2025-04-15T23:07:47.705Z] echo ""; echo "TESTING:"; \
[2025-04-15T23:07:47.705Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17447573355473/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-04-15T23:07:47.705Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17447573355473/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-04-15T23:07:47.705Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-04-15T23:07:47.705Z] echo "Nothing to be done for teardown."; \
[2025-04-15T23:07:47.705Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17447573355473/TestTargetResult";
[2025-04-15T23:07:47.705Z]
[2025-04-15T23:07:47.705Z] TEST SETUP:
[2025-04-15T23:07:47.705Z] Nothing to be done for setup.
[2025-04-15T23:07:47.705Z]
[2025-04-15T23:07:47.705Z] TESTING:
[2025-04-15T23:07:55.307Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-04-15T23:08:04.736Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-04-15T23:08:04.736Z] Training: 60056, validation: 20285, test: 19854
[2025-04-15T23:08:04.736Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-04-15T23:08:04.736Z] GC before operation: completed in 110.891 ms, heap usage 328.644 MB -> 76.342 MB.
[2025-04-15T23:08:12.334Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:08:15.416Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:08:19.464Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:08:22.546Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:08:24.764Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:08:26.980Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:08:29.195Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:08:31.415Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:08:31.415Z] 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.
[2025-04-15T23:08:31.415Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:08:31.415Z] Top recommended movies for user id 72:
[2025-04-15T23:08:31.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:08:31.415Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:08:31.415Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:08:31.415Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:08:31.415Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:08:31.415Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26875.510 ms) ======
[2025-04-15T23:08:31.415Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-04-15T23:08:32.101Z] GC before operation: completed in 127.659 ms, heap usage 349.659 MB -> 95.006 MB.
[2025-04-15T23:08:35.184Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:08:38.265Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:08:41.350Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:08:44.433Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:08:46.687Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:08:48.106Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:08:50.319Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:08:51.740Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:08:51.740Z] 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.
[2025-04-15T23:08:51.740Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:08:52.425Z] Top recommended movies for user id 72:
[2025-04-15T23:08:52.426Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:08:52.426Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:08:52.426Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:08:52.426Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:08:52.426Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:08:52.426Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20224.663 ms) ======
[2025-04-15T23:08:52.426Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-04-15T23:08:52.426Z] GC before operation: completed in 126.387 ms, heap usage 323.661 MB -> 95.749 MB.
[2025-04-15T23:08:56.539Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:08:59.732Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:09:02.812Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:09:05.037Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:09:06.461Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:09:07.881Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:09:09.299Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:09:11.515Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:09:11.515Z] 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.
[2025-04-15T23:09:11.515Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:09:11.515Z] Top recommended movies for user id 72:
[2025-04-15T23:09:11.515Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:09:11.515Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:09:11.515Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:09:11.515Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:09:11.515Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:09:11.515Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (19305.016 ms) ======
[2025-04-15T23:09:11.515Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-04-15T23:09:11.515Z] GC before operation: completed in 123.031 ms, heap usage 317.078 MB -> 93.878 MB.
[2025-04-15T23:09:15.548Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:09:17.766Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:09:20.848Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:09:23.936Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:09:25.360Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:09:26.781Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:09:28.201Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:09:29.621Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:09:30.307Z] 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.
[2025-04-15T23:09:30.307Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:09:30.307Z] Top recommended movies for user id 72:
[2025-04-15T23:09:30.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:09:30.307Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:09:30.307Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:09:30.307Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:09:30.307Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:09:30.307Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18761.137 ms) ======
[2025-04-15T23:09:30.307Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-04-15T23:09:30.307Z] GC before operation: completed in 130.265 ms, heap usage 309.258 MB -> 95.408 MB.
[2025-04-15T23:09:34.344Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:09:37.431Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:09:40.511Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:09:42.732Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:09:44.950Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:09:46.370Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:09:48.587Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:09:50.008Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:09:50.008Z] 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.
[2025-04-15T23:09:50.008Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:09:50.694Z] Top recommended movies for user id 72:
[2025-04-15T23:09:50.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:09:50.694Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:09:50.694Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:09:50.694Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:09:50.694Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:09:50.694Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19924.200 ms) ======
[2025-04-15T23:09:50.694Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-04-15T23:09:50.694Z] GC before operation: completed in 111.123 ms, heap usage 323.410 MB -> 92.857 MB.
[2025-04-15T23:09:54.731Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:09:57.820Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:10:00.122Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:10:03.207Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:10:04.629Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:10:06.844Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:10:08.264Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:10:10.477Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:10:10.477Z] 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.
[2025-04-15T23:10:10.477Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:10:10.477Z] Top recommended movies for user id 72:
[2025-04-15T23:10:10.477Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:10:10.477Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:10:10.477Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:10:10.477Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:10:10.477Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:10:10.477Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19902.212 ms) ======
[2025-04-15T23:10:10.477Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-04-15T23:10:10.477Z] GC before operation: completed in 101.984 ms, heap usage 380.602 MB -> 95.781 MB.
[2025-04-15T23:10:13.578Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:10:16.665Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:10:19.747Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:10:21.964Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:10:24.191Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:10:25.617Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:10:28.072Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:10:28.911Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:10:28.911Z] 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.
[2025-04-15T23:10:28.911Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:10:28.911Z] Top recommended movies for user id 72:
[2025-04-15T23:10:28.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:10:28.911Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:10:28.911Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:10:28.911Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:10:28.911Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:10:28.911Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (18400.090 ms) ======
[2025-04-15T23:10:28.911Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-04-15T23:10:28.911Z] GC before operation: completed in 117.453 ms, heap usage 974.704 MB -> 98.586 MB.
[2025-04-15T23:10:31.990Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:10:35.073Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:10:37.292Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:10:40.369Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:10:41.791Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:10:43.209Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:10:44.630Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:10:46.052Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:10:46.740Z] 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.
[2025-04-15T23:10:46.741Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:10:46.741Z] Top recommended movies for user id 72:
[2025-04-15T23:10:46.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:10:46.741Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:10:46.741Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:10:46.741Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:10:46.741Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:10:46.741Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17590.544 ms) ======
[2025-04-15T23:10:46.741Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-04-15T23:10:46.741Z] GC before operation: completed in 114.838 ms, heap usage 1.116 GB -> 99.039 MB.
[2025-04-15T23:10:49.825Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:10:52.914Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:10:56.075Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:10:59.232Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:11:00.651Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:11:02.079Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:11:03.500Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:11:04.921Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:11:05.607Z] 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.
[2025-04-15T23:11:05.607Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:11:05.607Z] Top recommended movies for user id 72:
[2025-04-15T23:11:05.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:11:05.607Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:11:05.607Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:11:05.607Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:11:05.607Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:11:05.607Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18666.048 ms) ======
[2025-04-15T23:11:05.607Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-04-15T23:11:05.607Z] GC before operation: completed in 115.937 ms, heap usage 458.900 MB -> 94.917 MB.
[2025-04-15T23:11:09.644Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:11:11.856Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:11:15.086Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:11:17.298Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:11:18.723Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:11:20.143Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:11:21.560Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:11:23.775Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:11:23.775Z] 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.
[2025-04-15T23:11:23.775Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:11:23.775Z] Top recommended movies for user id 72:
[2025-04-15T23:11:23.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:11:23.775Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:11:23.775Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:11:23.775Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:11:23.775Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:11:23.775Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18248.505 ms) ======
[2025-04-15T23:11:23.775Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-04-15T23:11:23.775Z] GC before operation: completed in 111.618 ms, heap usage 383.959 MB -> 94.678 MB.
[2025-04-15T23:11:26.861Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:11:29.950Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:11:33.032Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:11:35.244Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:11:36.668Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:11:38.898Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:11:40.319Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:11:41.896Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:11:41.896Z] 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.
[2025-04-15T23:11:41.896Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:11:41.896Z] Top recommended movies for user id 72:
[2025-04-15T23:11:41.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:11:41.896Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:11:41.896Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:11:41.896Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:11:41.896Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:11:41.896Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18019.169 ms) ======
[2025-04-15T23:11:41.896Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-04-15T23:11:41.896Z] GC before operation: completed in 118.293 ms, heap usage 565.571 MB -> 94.673 MB.
[2025-04-15T23:11:44.981Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:11:47.195Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:11:50.275Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:11:52.491Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:11:53.912Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:11:55.331Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:11:56.753Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:11:58.172Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:11:58.859Z] 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.
[2025-04-15T23:11:58.859Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:11:58.859Z] Top recommended movies for user id 72:
[2025-04-15T23:11:58.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:11:58.859Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:11:58.859Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:11:58.859Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:11:58.859Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:11:58.859Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16693.808 ms) ======
[2025-04-15T23:11:58.859Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-04-15T23:11:58.859Z] GC before operation: completed in 119.755 ms, heap usage 901.798 MB -> 97.433 MB.
[2025-04-15T23:12:01.944Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:12:05.028Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:12:08.112Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:12:11.196Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:12:12.615Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:12:14.830Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:12:16.248Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:12:17.668Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:12:18.354Z] 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.
[2025-04-15T23:12:18.354Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:12:18.354Z] Top recommended movies for user id 72:
[2025-04-15T23:12:18.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:12:18.354Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:12:18.354Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:12:18.354Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:12:18.355Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:12:18.355Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19390.830 ms) ======
[2025-04-15T23:12:18.355Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-04-15T23:12:18.355Z] GC before operation: completed in 152.844 ms, heap usage 230.373 MB -> 96.007 MB.
[2025-04-15T23:12:22.391Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:12:24.604Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:12:27.691Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:12:30.774Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:12:32.198Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:12:33.618Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:12:35.039Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:12:36.461Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:12:37.146Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-04-15T23:12:37.146Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:12:37.146Z] Top recommended movies for user id 72:
[2025-04-15T23:12:37.146Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:12:37.146Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:12:37.146Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:12:37.146Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:12:37.146Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:12:37.146Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18548.697 ms) ======
[2025-04-15T23:12:37.146Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-04-15T23:12:37.146Z] GC before operation: completed in 120.226 ms, heap usage 798.241 MB -> 99.032 MB.
[2025-04-15T23:12:40.228Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:12:43.318Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:12:46.400Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:12:50.395Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:12:51.313Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:12:52.733Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:12:54.956Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:12:56.377Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:12:57.063Z] 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.
[2025-04-15T23:12:57.063Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:12:57.063Z] Top recommended movies for user id 72:
[2025-04-15T23:12:57.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:12:57.063Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:12:57.063Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:12:57.063Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:12:57.063Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:12:57.063Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19917.204 ms) ======
[2025-04-15T23:12:57.063Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-04-15T23:12:57.063Z] GC before operation: completed in 117.581 ms, heap usage 315.761 MB -> 95.855 MB.
[2025-04-15T23:13:00.257Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:13:03.346Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:13:06.431Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:13:08.650Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:13:10.072Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:13:11.493Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:13:12.916Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:13:14.333Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:13:15.020Z] 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.
[2025-04-15T23:13:15.020Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:13:15.020Z] Top recommended movies for user id 72:
[2025-04-15T23:13:15.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:13:15.020Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:13:15.020Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:13:15.020Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:13:15.020Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:13:15.020Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17911.197 ms) ======
[2025-04-15T23:13:15.020Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-04-15T23:13:15.020Z] GC before operation: completed in 99.768 ms, heap usage 222.445 MB -> 94.749 MB.
[2025-04-15T23:13:19.049Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:13:21.264Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:13:24.345Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:13:26.558Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:13:27.992Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:13:29.422Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:13:30.841Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:13:32.260Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:13:32.944Z] 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.
[2025-04-15T23:13:32.944Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:13:32.944Z] Top recommended movies for user id 72:
[2025-04-15T23:13:32.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:13:32.944Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:13:32.944Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:13:32.944Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:13:32.944Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:13:32.944Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17861.781 ms) ======
[2025-04-15T23:13:32.944Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-04-15T23:13:32.944Z] GC before operation: completed in 115.842 ms, heap usage 640.021 MB -> 95.006 MB.
[2025-04-15T23:13:36.028Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:13:39.137Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:13:41.347Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:13:44.428Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:13:45.848Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:13:47.269Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:13:49.484Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:13:50.905Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:13:50.905Z] 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.
[2025-04-15T23:13:50.905Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:13:50.905Z] Top recommended movies for user id 72:
[2025-04-15T23:13:50.905Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:13:50.905Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:13:50.905Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:13:50.905Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:13:50.905Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:13:50.905Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17926.235 ms) ======
[2025-04-15T23:13:50.905Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-04-15T23:13:50.905Z] GC before operation: completed in 121.151 ms, heap usage 912.633 MB -> 98.060 MB.
[2025-04-15T23:13:54.939Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:13:57.156Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:14:00.349Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:14:02.581Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:14:03.998Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:14:05.418Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:14:07.633Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:14:09.053Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:14:09.053Z] 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.
[2025-04-15T23:14:09.053Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:14:09.053Z] Top recommended movies for user id 72:
[2025-04-15T23:14:09.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:14:09.053Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:14:09.053Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:14:09.053Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:14:09.053Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:14:09.053Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18128.085 ms) ======
[2025-04-15T23:14:09.053Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-04-15T23:14:09.738Z] GC before operation: completed in 106.676 ms, heap usage 280.296 MB -> 98.831 MB.
[2025-04-15T23:14:12.824Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-04-15T23:14:15.068Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-04-15T23:14:19.108Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-04-15T23:14:21.323Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-04-15T23:14:23.550Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-04-15T23:14:25.775Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-04-15T23:14:27.990Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-04-15T23:14:29.409Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-04-15T23:14:30.100Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-04-15T23:14:30.101Z] The best model improves the baseline by 14.43%.
[2025-04-15T23:14:30.101Z] Top recommended movies for user id 72:
[2025-04-15T23:14:30.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-04-15T23:14:30.101Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-04-15T23:14:30.101Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-04-15T23:14:30.101Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-04-15T23:14:30.101Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-04-15T23:14:30.101Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (20537.620 ms) ======
[2025-04-15T23:14:31.527Z] -----------------------------------
[2025-04-15T23:14:31.527Z] renaissance-movie-lens_0_PASSED
[2025-04-15T23:14:31.527Z] -----------------------------------
[2025-04-15T23:14:31.527Z]
[2025-04-15T23:14:31.527Z] TEST TEARDOWN:
[2025-04-15T23:14:31.527Z] Nothing to be done for teardown.
[2025-04-15T23:14:31.527Z] renaissance-movie-lens_0 Finish Time: Tue Apr 15 18:14:30 2025 Epoch Time (ms): 1744758870803