renaissance-movie-lens_0
[2025-06-18T21:28:53.396Z] Running test renaissance-movie-lens_0 ...
[2025-06-18T21:28:53.396Z] ===============================================
[2025-06-18T21:28:53.396Z] renaissance-movie-lens_0 Start Time: Wed Jun 18 21:28:52 2025 Epoch Time (ms): 1750282132271
[2025-06-18T21:28:53.396Z] variation: NoOptions
[2025-06-18T21:28:53.396Z] JVM_OPTIONS:
[2025-06-18T21:28:53.396Z] { \
[2025-06-18T21:28:53.396Z] echo ""; echo "TEST SETUP:"; \
[2025-06-18T21:28:53.396Z] echo "Nothing to be done for setup."; \
[2025-06-18T21:28:53.397Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17502813221287/renaissance-movie-lens_0"; \
[2025-06-18T21:28:53.397Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17502813221287/renaissance-movie-lens_0"; \
[2025-06-18T21:28:53.397Z] echo ""; echo "TESTING:"; \
[2025-06-18T21:28:53.397Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17502813221287/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-18T21:28:53.397Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17502813221287/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-18T21:28:53.397Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-18T21:28:53.397Z] echo "Nothing to be done for teardown."; \
[2025-06-18T21:28:53.397Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17502813221287/TestTargetResult";
[2025-06-18T21:28:53.397Z]
[2025-06-18T21:28:53.397Z] TEST SETUP:
[2025-06-18T21:28:53.397Z] Nothing to be done for setup.
[2025-06-18T21:28:53.397Z]
[2025-06-18T21:28:53.397Z] TESTING:
[2025-06-18T21:29:00.039Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-06-18T21:29:13.600Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-18T21:29:13.600Z] Training: 60056, validation: 20285, test: 19854
[2025-06-18T21:29:13.600Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-18T21:29:13.600Z] GC before operation: completed in 97.724 ms, heap usage 373.505 MB -> 77.687 MB.
[2025-06-18T21:29:20.263Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:29:24.363Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:29:27.352Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:29:30.337Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:29:33.717Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:29:35.647Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:29:37.584Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:29:39.541Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:29:39.541Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:29:39.541Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:29:39.541Z] Top recommended movies for user id 72:
[2025-06-18T21:29:39.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:29:39.541Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:29:39.541Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:29:39.541Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:29:39.541Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:29:39.541Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (26298.917 ms) ======
[2025-06-18T21:29:39.541Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-18T21:29:39.541Z] GC before operation: completed in 153.809 ms, heap usage 1.254 GB -> 94.218 MB.
[2025-06-18T21:29:43.650Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:29:46.632Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:29:48.563Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:29:51.548Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:29:53.595Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:29:54.540Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:29:56.483Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:29:58.417Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:29:58.418Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:29:58.418Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:29:58.418Z] Top recommended movies for user id 72:
[2025-06-18T21:29:58.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:29:58.418Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:29:58.418Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:29:58.418Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:29:58.418Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:29:58.418Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18422.683 ms) ======
[2025-06-18T21:29:58.418Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-18T21:29:58.418Z] GC before operation: completed in 129.775 ms, heap usage 1.215 GB -> 98.822 MB.
[2025-06-18T21:30:01.482Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:30:04.470Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:30:07.459Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:30:10.448Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:30:11.387Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:30:13.322Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:30:15.253Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:30:17.186Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:30:17.186Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:30:17.186Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:30:17.186Z] Top recommended movies for user id 72:
[2025-06-18T21:30:17.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:30:17.186Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:30:17.186Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:30:17.186Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:30:17.186Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:30:17.186Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18713.304 ms) ======
[2025-06-18T21:30:17.186Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-18T21:30:17.186Z] GC before operation: completed in 148.312 ms, heap usage 1.610 GB -> 99.206 MB.
[2025-06-18T21:30:20.252Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:30:23.240Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:30:26.398Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:30:29.385Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:30:30.339Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:30:32.272Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:30:34.217Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:30:36.152Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:30:36.152Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:30:36.152Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:30:37.806Z] Top recommended movies for user id 72:
[2025-06-18T21:30:37.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:30:37.806Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:30:37.806Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:30:37.806Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:30:37.806Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:30:37.806Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19507.422 ms) ======
[2025-06-18T21:30:37.806Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-18T21:30:37.806Z] GC before operation: completed in 155.276 ms, heap usage 297.927 MB -> 96.703 MB.
[2025-06-18T21:30:39.754Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:30:42.738Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:30:44.670Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:30:47.671Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:30:48.615Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:30:49.560Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:30:51.490Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:30:52.431Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:30:53.388Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:30:53.388Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:30:53.388Z] Top recommended movies for user id 72:
[2025-06-18T21:30:53.388Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:30:53.388Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:30:53.388Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:30:53.389Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:30:53.389Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:30:53.389Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16221.781 ms) ======
[2025-06-18T21:30:53.389Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-18T21:30:53.389Z] GC before operation: completed in 127.986 ms, heap usage 706.053 MB -> 95.772 MB.
[2025-06-18T21:30:56.369Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:30:58.300Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:31:01.287Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:31:03.218Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:31:05.202Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:31:07.136Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:31:08.077Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:31:10.009Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:31:10.009Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:31:10.009Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:31:10.009Z] Top recommended movies for user id 72:
[2025-06-18T21:31:10.009Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:31:10.009Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:31:10.009Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:31:10.009Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:31:10.009Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:31:10.009Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16627.292 ms) ======
[2025-06-18T21:31:10.009Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-18T21:31:10.009Z] GC before operation: completed in 178.950 ms, heap usage 573.624 MB -> 94.850 MB.
[2025-06-18T21:31:12.992Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:31:14.926Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:31:17.916Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:31:19.849Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:31:20.793Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:31:22.736Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:31:23.678Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:31:25.619Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:31:25.619Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:31:25.619Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:31:25.619Z] Top recommended movies for user id 72:
[2025-06-18T21:31:25.619Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:31:25.619Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:31:25.619Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:31:25.619Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:31:25.619Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:31:25.619Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15658.362 ms) ======
[2025-06-18T21:31:25.619Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-18T21:31:25.619Z] GC before operation: completed in 129.909 ms, heap usage 223.280 MB -> 93.201 MB.
[2025-06-18T21:31:28.607Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:31:31.600Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:31:33.596Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:31:35.528Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:31:37.465Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:31:38.410Z] RMSE (validation) = 1.117495376637101 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:31:41.210Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:31:41.210Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:31:41.210Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:31:41.210Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:31:42.152Z] Top recommended movies for user id 72:
[2025-06-18T21:31:42.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:31:42.152Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:31:42.152Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:31:42.152Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:31:42.152Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:31:42.152Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15787.169 ms) ======
[2025-06-18T21:31:42.152Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-18T21:31:42.152Z] GC before operation: completed in 126.508 ms, heap usage 296.070 MB -> 95.295 MB.
[2025-06-18T21:31:44.093Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:31:46.110Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:31:49.097Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:31:51.056Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:31:52.996Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:31:55.007Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:31:55.948Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:31:57.926Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:31:57.926Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:31:57.926Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:31:57.926Z] Top recommended movies for user id 72:
[2025-06-18T21:31:57.926Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:31:57.926Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:31:57.926Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:31:57.926Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:31:57.926Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:31:57.926Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16335.307 ms) ======
[2025-06-18T21:31:57.926Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-18T21:31:57.926Z] GC before operation: completed in 136.436 ms, heap usage 1.465 GB -> 99.615 MB.
[2025-06-18T21:32:00.931Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:32:03.916Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:32:06.902Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:32:09.888Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:32:10.830Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:32:12.764Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:32:14.699Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:32:16.636Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:32:16.636Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:32:16.636Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:32:16.636Z] Top recommended movies for user id 72:
[2025-06-18T21:32:16.636Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:32:16.636Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:32:16.636Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:32:16.636Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:32:16.636Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:32:16.636Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18486.544 ms) ======
[2025-06-18T21:32:16.636Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-18T21:32:16.636Z] GC before operation: completed in 123.892 ms, heap usage 492.292 MB -> 93.726 MB.
[2025-06-18T21:32:19.620Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:32:22.602Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:32:25.586Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:32:28.573Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:32:29.515Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:32:31.450Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:32:33.386Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:32:34.328Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:32:34.328Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:32:35.268Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:32:35.268Z] Top recommended movies for user id 72:
[2025-06-18T21:32:35.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:32:35.268Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:32:35.268Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:32:35.268Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:32:35.268Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:32:35.268Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18023.985 ms) ======
[2025-06-18T21:32:35.268Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-18T21:32:35.268Z] GC before operation: completed in 135.209 ms, heap usage 328.023 MB -> 95.063 MB.
[2025-06-18T21:32:37.197Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:32:40.230Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:32:43.914Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:32:45.848Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:32:47.782Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:32:48.725Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:32:50.658Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:32:52.590Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:32:52.590Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:32:52.590Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:32:52.590Z] Top recommended movies for user id 72:
[2025-06-18T21:32:52.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:32:52.590Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:32:52.590Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:32:52.590Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:32:52.590Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:32:52.590Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17648.786 ms) ======
[2025-06-18T21:32:52.590Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-18T21:32:52.590Z] GC before operation: completed in 132.963 ms, heap usage 582.489 MB -> 97.196 MB.
[2025-06-18T21:32:55.610Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:32:58.591Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:33:01.574Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:33:04.557Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:33:05.498Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:33:07.427Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:33:08.369Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:33:10.304Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:33:10.304Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:33:10.304Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:33:10.304Z] Top recommended movies for user id 72:
[2025-06-18T21:33:10.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:33:10.304Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:33:10.304Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:33:10.304Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:33:10.304Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:33:10.304Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17746.514 ms) ======
[2025-06-18T21:33:10.304Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-18T21:33:10.304Z] GC before operation: completed in 136.372 ms, heap usage 574.095 MB -> 95.451 MB.
[2025-06-18T21:33:13.288Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:33:16.279Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:33:19.260Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:33:21.192Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:33:23.122Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:33:24.063Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:33:25.993Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:33:27.982Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:33:27.982Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:33:27.982Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:33:27.982Z] Top recommended movies for user id 72:
[2025-06-18T21:33:27.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:33:27.982Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:33:27.982Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:33:27.982Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:33:27.982Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:33:27.982Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17155.824 ms) ======
[2025-06-18T21:33:27.982Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-18T21:33:27.982Z] GC before operation: completed in 140.695 ms, heap usage 806.381 MB -> 99.578 MB.
[2025-06-18T21:33:30.978Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:33:33.960Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:33:35.891Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:33:38.905Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:33:39.878Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:33:41.807Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:33:43.736Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:33:47.431Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:33:47.431Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:33:47.431Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:33:47.431Z] Top recommended movies for user id 72:
[2025-06-18T21:33:47.431Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:33:47.431Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:33:47.431Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:33:47.431Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:33:47.431Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:33:47.431Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18849.328 ms) ======
[2025-06-18T21:33:47.431Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-18T21:33:47.431Z] GC before operation: completed in 205.767 ms, heap usage 1.180 GB -> 100.578 MB.
[2025-06-18T21:33:50.412Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:33:52.342Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:33:55.434Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:33:58.416Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:33:59.357Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:34:00.299Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:34:02.235Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:34:03.177Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:34:03.177Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:34:03.177Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:34:04.119Z] Top recommended movies for user id 72:
[2025-06-18T21:34:04.119Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:34:04.119Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:34:04.119Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:34:04.119Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:34:04.119Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:34:04.119Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16655.893 ms) ======
[2025-06-18T21:34:04.119Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-18T21:34:04.119Z] GC before operation: completed in 134.563 ms, heap usage 679.370 MB -> 97.112 MB.
[2025-06-18T21:34:06.050Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:34:09.031Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:34:10.962Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:34:12.914Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:34:14.846Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:34:15.787Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:34:17.719Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:34:18.661Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:34:19.602Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:34:19.602Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:34:19.602Z] Top recommended movies for user id 72:
[2025-06-18T21:34:19.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:34:19.602Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:34:19.602Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:34:19.602Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:34:19.602Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:34:19.602Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15383.090 ms) ======
[2025-06-18T21:34:19.602Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-18T21:34:19.602Z] GC before operation: completed in 135.397 ms, heap usage 1.165 GB -> 98.023 MB.
[2025-06-18T21:34:21.532Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:34:24.514Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:34:26.444Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:34:29.426Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:34:30.367Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:34:32.296Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:34:33.238Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:34:35.174Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:34:35.174Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:34:35.174Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:34:35.174Z] Top recommended movies for user id 72:
[2025-06-18T21:34:35.174Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:34:35.174Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:34:35.174Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:34:35.174Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:34:35.174Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:34:35.174Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15964.666 ms) ======
[2025-06-18T21:34:35.174Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-18T21:34:35.174Z] GC before operation: completed in 177.214 ms, heap usage 204.390 MB -> 93.359 MB.
[2025-06-18T21:34:38.208Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:34:41.192Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:34:43.125Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:34:46.114Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:34:47.053Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:34:47.991Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:34:49.619Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:34:51.555Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:34:51.555Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:34:51.555Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:34:51.556Z] Top recommended movies for user id 72:
[2025-06-18T21:34:51.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:34:51.556Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:34:51.556Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:34:51.556Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:34:51.556Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:34:51.556Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15955.822 ms) ======
[2025-06-18T21:34:51.556Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-18T21:34:51.556Z] GC before operation: completed in 134.462 ms, heap usage 721.961 MB -> 99.031 MB.
[2025-06-18T21:34:54.578Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T21:34:56.512Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T21:34:59.493Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T21:35:01.422Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T21:35:02.367Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T21:35:04.479Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T21:35:05.419Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T21:35:06.361Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T21:35:06.361Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T21:35:06.361Z] The best model improves the baseline by 14.43%.
[2025-06-18T21:35:07.303Z] Top recommended movies for user id 72:
[2025-06-18T21:35:07.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T21:35:07.303Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T21:35:07.303Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T21:35:07.303Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T21:35:07.303Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T21:35:07.303Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15272.829 ms) ======
[2025-06-18T21:35:09.235Z] -----------------------------------
[2025-06-18T21:35:09.235Z] renaissance-movie-lens_0_PASSED
[2025-06-18T21:35:09.235Z] -----------------------------------
[2025-06-18T21:35:09.235Z]
[2025-06-18T21:35:09.235Z] TEST TEARDOWN:
[2025-06-18T21:35:09.235Z] Nothing to be done for teardown.
[2025-06-18T21:35:09.235Z] renaissance-movie-lens_0 Finish Time: Wed Jun 18 21:35:08 2025 Epoch Time (ms): 1750282508275