renaissance-movie-lens_0
[2025-05-16T21:39:12.391Z] Running test renaissance-movie-lens_0 ...
[2025-05-16T21:39:12.391Z] ===============================================
[2025-05-16T21:39:12.391Z] renaissance-movie-lens_0 Start Time: Fri May 16 21:39:12 2025 Epoch Time (ms): 1747431552039
[2025-05-16T21:39:12.391Z] variation: NoOptions
[2025-05-16T21:39:12.391Z] JVM_OPTIONS:
[2025-05-16T21:39:12.391Z] { \
[2025-05-16T21:39:12.391Z] echo ""; echo "TEST SETUP:"; \
[2025-05-16T21:39:12.391Z] echo "Nothing to be done for setup."; \
[2025-05-16T21:39:12.391Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1747429960623/renaissance-movie-lens_0"; \
[2025-05-16T21:39:12.391Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1747429960623/renaissance-movie-lens_0"; \
[2025-05-16T21:39:12.391Z] echo ""; echo "TESTING:"; \
[2025-05-16T21:39:12.391Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1747429960623/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-16T21:39:12.391Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1747429960623/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-16T21:39:12.391Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-16T21:39:12.391Z] echo "Nothing to be done for teardown."; \
[2025-05-16T21:39:12.391Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1747429960623/TestTargetResult";
[2025-05-16T21:39:12.391Z]
[2025-05-16T21:39:12.391Z] TEST SETUP:
[2025-05-16T21:39:12.391Z] Nothing to be done for setup.
[2025-05-16T21:39:12.391Z]
[2025-05-16T21:39:12.391Z] TESTING:
[2025-05-16T21:39:22.129Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-05-16T21:39:37.881Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-16T21:39:38.833Z] Training: 60056, validation: 20285, test: 19854
[2025-05-16T21:39:38.833Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-16T21:39:38.833Z] GC before operation: completed in 162.241 ms, heap usage 405.393 MB -> 77.412 MB.
[2025-05-16T21:39:50.371Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:39:55.827Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:40:00.389Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:40:05.758Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:40:08.777Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:40:11.790Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:40:14.803Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:40:17.818Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:40:17.818Z] 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.
[2025-05-16T21:40:17.818Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:40:17.818Z] Top recommended movies for user id 72:
[2025-05-16T21:40:17.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:40:17.818Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:40:17.818Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:40:17.818Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:40:17.818Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:40:17.818Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (39106.894 ms) ======
[2025-05-16T21:40:17.818Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-16T21:40:18.773Z] GC before operation: completed in 220.060 ms, heap usage 1.335 GB -> 94.154 MB.
[2025-05-16T21:40:22.949Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:40:27.110Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:40:31.266Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:40:35.412Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:40:37.364Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:40:40.377Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:40:42.325Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:40:45.360Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:40:45.360Z] 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.
[2025-05-16T21:40:45.360Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:40:45.360Z] Top recommended movies for user id 72:
[2025-05-16T21:40:45.360Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:40:45.360Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:40:45.360Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:40:45.360Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:40:45.360Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:40:45.360Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (27288.218 ms) ======
[2025-05-16T21:40:45.360Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-16T21:40:46.309Z] GC before operation: completed in 315.010 ms, heap usage 494.102 MB -> 94.249 MB.
[2025-05-16T21:40:50.451Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:40:54.754Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:40:58.482Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:41:02.628Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:41:05.637Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:41:07.589Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:41:10.600Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:41:12.547Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:41:12.547Z] 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.
[2025-05-16T21:41:12.547Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:41:12.547Z] Top recommended movies for user id 72:
[2025-05-16T21:41:12.547Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:41:12.547Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:41:12.547Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:41:12.547Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:41:12.547Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:41:12.547Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26934.461 ms) ======
[2025-05-16T21:41:12.547Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-16T21:41:13.495Z] GC before operation: completed in 314.794 ms, heap usage 155.106 MB -> 99.926 MB.
[2025-05-16T21:41:16.507Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:41:20.646Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:41:23.671Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:41:26.687Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:41:28.643Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:41:30.592Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:41:32.541Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:41:35.549Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:41:35.549Z] 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.
[2025-05-16T21:41:35.549Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:41:35.549Z] Top recommended movies for user id 72:
[2025-05-16T21:41:35.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:41:35.549Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:41:35.549Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:41:35.549Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:41:35.549Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:41:35.549Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22421.150 ms) ======
[2025-05-16T21:41:35.549Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-16T21:41:35.549Z] GC before operation: completed in 247.097 ms, heap usage 1009.775 MB -> 99.118 MB.
[2025-05-16T21:41:39.691Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:41:42.701Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:41:45.711Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:41:48.719Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:41:51.731Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:41:53.681Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:41:55.329Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:41:57.279Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:41:58.230Z] 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.
[2025-05-16T21:41:58.230Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:41:58.230Z] Top recommended movies for user id 72:
[2025-05-16T21:41:58.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:41:58.230Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:41:58.230Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:41:58.230Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:41:58.230Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:41:58.230Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22247.978 ms) ======
[2025-05-16T21:41:58.230Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-16T21:41:58.230Z] GC before operation: completed in 251.161 ms, heap usage 1.407 GB -> 99.503 MB.
[2025-05-16T21:42:02.371Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:42:05.379Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:42:09.517Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:42:12.594Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:42:14.547Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:42:16.496Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:42:18.467Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:42:21.478Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:42:21.478Z] 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.
[2025-05-16T21:42:21.478Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:42:21.478Z] Top recommended movies for user id 72:
[2025-05-16T21:42:21.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:42:21.478Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:42:21.478Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:42:21.478Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:42:21.478Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:42:21.478Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23190.950 ms) ======
[2025-05-16T21:42:21.478Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-16T21:42:21.478Z] GC before operation: completed in 255.111 ms, heap usage 560.586 MB -> 96.627 MB.
[2025-05-16T21:42:25.619Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:42:28.632Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:42:31.644Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:42:34.655Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:42:36.604Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:42:38.561Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:42:40.513Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:42:42.463Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:42:43.420Z] 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.
[2025-05-16T21:42:43.420Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:42:43.420Z] Top recommended movies for user id 72:
[2025-05-16T21:42:43.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:42:43.420Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:42:43.420Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:42:43.420Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:42:43.420Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:42:43.420Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21613.205 ms) ======
[2025-05-16T21:42:43.420Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-16T21:42:43.420Z] GC before operation: completed in 302.985 ms, heap usage 1.005 GB -> 99.231 MB.
[2025-05-16T21:42:47.737Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:42:50.755Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:42:54.492Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:42:57.504Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:42:59.453Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:43:01.404Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:43:03.354Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:43:05.303Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:43:05.303Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-16T21:43:05.303Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:43:05.303Z] Top recommended movies for user id 72:
[2025-05-16T21:43:05.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:43:05.303Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:43:05.303Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:43:05.303Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:43:05.303Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:43:05.303Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21873.245 ms) ======
[2025-05-16T21:43:05.303Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-16T21:43:06.258Z] GC before operation: completed in 252.001 ms, heap usage 146.174 MB -> 100.095 MB.
[2025-05-16T21:43:10.399Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:43:13.410Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:43:16.420Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:43:19.431Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:43:21.382Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:43:23.332Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:43:25.282Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:43:27.234Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:43:28.184Z] 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.
[2025-05-16T21:43:28.184Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:43:28.184Z] Top recommended movies for user id 72:
[2025-05-16T21:43:28.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:43:28.184Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:43:28.184Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:43:28.184Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:43:28.184Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:43:28.184Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22488.381 ms) ======
[2025-05-16T21:43:28.184Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-16T21:43:28.184Z] GC before operation: completed in 201.289 ms, heap usage 321.014 MB -> 94.824 MB.
[2025-05-16T21:43:32.324Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:43:35.339Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:43:39.483Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:43:42.495Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:43:44.446Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:43:46.396Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:43:49.063Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:43:51.015Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:43:51.015Z] 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.
[2025-05-16T21:43:51.015Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:43:51.015Z] Top recommended movies for user id 72:
[2025-05-16T21:43:51.015Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:43:51.015Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:43:51.015Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:43:51.015Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:43:51.015Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:43:51.015Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (22558.816 ms) ======
[2025-05-16T21:43:51.015Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-16T21:43:51.015Z] GC before operation: completed in 255.206 ms, heap usage 910.761 MB -> 97.202 MB.
[2025-05-16T21:43:55.155Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:43:58.169Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:44:01.184Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:44:04.194Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:44:06.145Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:44:09.154Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:44:11.113Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:44:13.066Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:44:13.066Z] 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.
[2025-05-16T21:44:13.066Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:44:13.066Z] Top recommended movies for user id 72:
[2025-05-16T21:44:13.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:44:13.066Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:44:13.066Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:44:13.066Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:44:13.066Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:44:13.066Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22012.444 ms) ======
[2025-05-16T21:44:13.066Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-16T21:44:14.023Z] GC before operation: completed in 197.434 ms, heap usage 123.524 MB -> 97.978 MB.
[2025-05-16T21:44:18.177Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:44:21.189Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:44:24.204Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:44:27.218Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:44:29.167Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:44:32.173Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:44:34.151Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:44:36.097Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:44:36.097Z] 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.
[2025-05-16T21:44:36.097Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:44:37.045Z] Top recommended movies for user id 72:
[2025-05-16T21:44:37.045Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:44:37.045Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:44:37.045Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:44:37.045Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:44:37.045Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:44:37.045Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23098.296 ms) ======
[2025-05-16T21:44:37.045Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-16T21:44:37.045Z] GC before operation: completed in 262.678 ms, heap usage 1.474 GB -> 98.497 MB.
[2025-05-16T21:44:41.187Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:44:44.894Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:44:47.903Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:44:50.914Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:44:52.872Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:44:54.922Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:44:56.872Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:44:58.823Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:44:59.777Z] 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.
[2025-05-16T21:44:59.777Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:44:59.777Z] Top recommended movies for user id 72:
[2025-05-16T21:44:59.777Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:44:59.777Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:44:59.777Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:44:59.777Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:44:59.777Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:44:59.777Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22831.528 ms) ======
[2025-05-16T21:44:59.777Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-16T21:44:59.777Z] GC before operation: completed in 207.023 ms, heap usage 1.455 GB -> 98.430 MB.
[2025-05-16T21:45:03.918Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:45:06.926Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:45:09.937Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:45:12.949Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:45:14.898Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:45:16.852Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:45:18.800Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:45:20.749Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:45:21.702Z] 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.
[2025-05-16T21:45:21.702Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:45:21.702Z] Top recommended movies for user id 72:
[2025-05-16T21:45:21.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:45:21.702Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:45:21.702Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:45:21.702Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:45:21.702Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:45:21.702Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21570.368 ms) ======
[2025-05-16T21:45:21.702Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-16T21:45:21.702Z] GC before operation: completed in 258.652 ms, heap usage 331.145 MB -> 94.372 MB.
[2025-05-16T21:45:25.841Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:45:28.850Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:45:31.859Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:45:34.869Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:45:36.818Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:45:38.795Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:45:41.139Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:45:43.090Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:45:44.040Z] 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.
[2025-05-16T21:45:44.040Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:45:44.040Z] Top recommended movies for user id 72:
[2025-05-16T21:45:44.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:45:44.040Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:45:44.040Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:45:44.040Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:45:44.040Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:45:44.040Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (22224.016 ms) ======
[2025-05-16T21:45:44.040Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-16T21:45:44.040Z] GC before operation: completed in 219.792 ms, heap usage 1.023 GB -> 97.571 MB.
[2025-05-16T21:45:48.184Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:45:51.193Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:45:55.334Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:45:58.344Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:45:59.294Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:46:02.307Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:46:04.257Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:46:06.205Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:46:06.205Z] 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.
[2025-05-16T21:46:06.205Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:46:06.205Z] Top recommended movies for user id 72:
[2025-05-16T21:46:06.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:46:06.205Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:46:06.205Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:46:06.205Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:46:06.205Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:46:06.205Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22102.076 ms) ======
[2025-05-16T21:46:06.205Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-16T21:46:07.158Z] GC before operation: completed in 257.098 ms, heap usage 822.916 MB -> 98.897 MB.
[2025-05-16T21:46:10.167Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:46:13.206Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:46:16.213Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:46:19.228Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:46:21.182Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:46:23.132Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:46:25.081Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:46:27.040Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:46:27.990Z] 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.
[2025-05-16T21:46:27.990Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:46:27.990Z] Top recommended movies for user id 72:
[2025-05-16T21:46:27.990Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:46:27.990Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:46:27.990Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:46:27.990Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:46:27.990Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:46:27.990Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21430.510 ms) ======
[2025-05-16T21:46:27.990Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-16T21:46:27.990Z] GC before operation: completed in 206.927 ms, heap usage 1.263 GB -> 98.134 MB.
[2025-05-16T21:46:32.133Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:46:35.144Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:46:38.554Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:46:41.565Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:46:43.517Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:46:45.468Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:46:47.419Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:46:49.372Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:46:50.325Z] 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.
[2025-05-16T21:46:50.325Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:46:50.325Z] Top recommended movies for user id 72:
[2025-05-16T21:46:50.325Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:46:50.325Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:46:50.325Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:46:50.325Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:46:50.325Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:46:50.325Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22168.046 ms) ======
[2025-05-16T21:46:50.325Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-16T21:46:51.279Z] GC before operation: completed in 308.191 ms, heap usage 282.654 MB -> 95.034 MB.
[2025-05-16T21:46:55.529Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:46:58.541Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:47:01.551Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:47:04.559Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:47:06.507Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:47:08.456Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:47:10.407Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:47:12.358Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:47:12.358Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-16T21:47:12.358Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:47:13.310Z] Top recommended movies for user id 72:
[2025-05-16T21:47:13.310Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:47:13.310Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:47:13.310Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:47:13.310Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:47:13.310Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:47:13.310Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22111.374 ms) ======
[2025-05-16T21:47:13.310Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-16T21:47:13.310Z] GC before operation: completed in 205.565 ms, heap usage 1.127 GB -> 99.109 MB.
[2025-05-16T21:47:16.322Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-16T21:47:20.460Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-16T21:47:23.465Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-16T21:47:26.471Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-16T21:47:28.419Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-16T21:47:30.381Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-16T21:47:32.334Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-16T21:47:35.032Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-16T21:47:35.032Z] 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.
[2025-05-16T21:47:35.032Z] The best model improves the baseline by 14.43%.
[2025-05-16T21:47:35.032Z] Top recommended movies for user id 72:
[2025-05-16T21:47:35.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-16T21:47:35.032Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-16T21:47:35.032Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-16T21:47:35.032Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-16T21:47:35.032Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-16T21:47:35.032Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22020.069 ms) ======
[2025-05-16T21:47:36.983Z] -----------------------------------
[2025-05-16T21:47:36.983Z] renaissance-movie-lens_0_PASSED
[2025-05-16T21:47:36.983Z] -----------------------------------
[2025-05-16T21:47:36.983Z]
[2025-05-16T21:47:36.983Z] TEST TEARDOWN:
[2025-05-16T21:47:36.983Z] Nothing to be done for teardown.
[2025-05-16T21:47:36.983Z] renaissance-movie-lens_0 Finish Time: Fri May 16 21:47:36 2025 Epoch Time (ms): 1747432056791