renaissance-movie-lens_0
[2025-05-07T23:26:09.082Z] Running test renaissance-movie-lens_0 ...
[2025-05-07T23:26:09.082Z] ===============================================
[2025-05-07T23:26:09.082Z] renaissance-movie-lens_0 Start Time: Wed May 7 23:26:08 2025 Epoch Time (ms): 1746660368143
[2025-05-07T23:26:09.082Z] variation: NoOptions
[2025-05-07T23:26:09.082Z] JVM_OPTIONS:
[2025-05-07T23:26:09.082Z] { \
[2025-05-07T23:26:09.082Z] echo ""; echo "TEST SETUP:"; \
[2025-05-07T23:26:09.082Z] echo "Nothing to be done for setup."; \
[2025-05-07T23:26:09.082Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17466592541904/renaissance-movie-lens_0"; \
[2025-05-07T23:26:09.082Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17466592541904/renaissance-movie-lens_0"; \
[2025-05-07T23:26:09.082Z] echo ""; echo "TESTING:"; \
[2025-05-07T23:26:09.082Z] "/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_17466592541904/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-07T23:26:09.082Z] 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_17466592541904/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-07T23:26:09.082Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-07T23:26:09.082Z] echo "Nothing to be done for teardown."; \
[2025-05-07T23:26:09.082Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17466592541904/TestTargetResult";
[2025-05-07T23:26:09.082Z]
[2025-05-07T23:26:09.082Z] TEST SETUP:
[2025-05-07T23:26:09.082Z] Nothing to be done for setup.
[2025-05-07T23:26:09.082Z]
[2025-05-07T23:26:09.082Z] TESTING:
[2025-05-07T23:26:15.771Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-05-07T23:26:27.275Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-07T23:26:28.227Z] Training: 60056, validation: 20285, test: 19854
[2025-05-07T23:26:28.227Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-07T23:26:28.227Z] GC before operation: completed in 100.558 ms, heap usage 547.694 MB -> 77.700 MB.
[2025-05-07T23:26:36.368Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:26:40.519Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:26:43.535Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:26:46.552Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:26:48.510Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:26:51.537Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:26:52.491Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:26:54.446Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:26:55.398Z] 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.
[2025-05-07T23:26:55.398Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:26:55.398Z] Top recommended movies for user id 72:
[2025-05-07T23:26:55.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:26:55.398Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:26:55.398Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:26:55.398Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:26:55.398Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:26:55.398Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27429.078 ms) ======
[2025-05-07T23:26:55.398Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-07T23:26:55.398Z] GC before operation: completed in 151.559 ms, heap usage 432.781 MB -> 92.823 MB.
[2025-05-07T23:26:58.412Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:27:01.430Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:27:04.446Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:27:07.461Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:27:09.416Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:27:10.368Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:27:13.027Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:27:13.985Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:27:13.985Z] 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.
[2025-05-07T23:27:13.985Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:27:14.938Z] Top recommended movies for user id 72:
[2025-05-07T23:27:14.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:27:14.938Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:27:14.938Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:27:14.938Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:27:14.938Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:27:14.938Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18870.434 ms) ======
[2025-05-07T23:27:14.938Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-07T23:27:14.938Z] GC before operation: completed in 121.984 ms, heap usage 909.295 MB -> 95.530 MB.
[2025-05-07T23:27:17.957Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:27:20.974Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:27:23.993Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:27:25.950Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:27:27.905Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:27:28.856Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:27:30.811Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:27:31.763Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:27:31.763Z] 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.
[2025-05-07T23:27:32.715Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:27:32.715Z] Top recommended movies for user id 72:
[2025-05-07T23:27:32.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:27:32.715Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:27:32.715Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:27:32.715Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:27:32.715Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:27:32.715Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17819.625 ms) ======
[2025-05-07T23:27:32.715Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-07T23:27:32.715Z] GC before operation: completed in 145.058 ms, heap usage 360.073 MB -> 96.028 MB.
[2025-05-07T23:27:35.734Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:27:37.866Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:27:39.824Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:27:42.920Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:27:43.874Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:27:45.829Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:27:46.782Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:27:48.735Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:27:48.735Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-07T23:27:48.735Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:27:48.735Z] Top recommended movies for user id 72:
[2025-05-07T23:27:48.735Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:27:48.735Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:27:48.735Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:27:48.735Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:27:48.736Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:27:48.736Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16128.651 ms) ======
[2025-05-07T23:27:48.736Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-07T23:27:48.736Z] GC before operation: completed in 177.983 ms, heap usage 274.309 MB -> 96.036 MB.
[2025-05-07T23:27:51.755Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:27:53.710Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:27:55.664Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:27:58.680Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:27:59.633Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:28:00.585Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:28:02.541Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:28:03.495Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:28:03.495Z] 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.
[2025-05-07T23:28:03.495Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:28:04.448Z] Top recommended movies for user id 72:
[2025-05-07T23:28:04.448Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:28:04.448Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:28:04.448Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:28:04.448Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:28:04.448Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:28:04.448Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15132.872 ms) ======
[2025-05-07T23:28:04.448Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-07T23:28:04.448Z] GC before operation: completed in 145.323 ms, heap usage 1.404 GB -> 98.798 MB.
[2025-05-07T23:28:06.402Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:28:08.357Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:28:11.378Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:28:13.333Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:28:14.288Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:28:16.246Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:28:17.198Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:28:18.152Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:28:18.152Z] 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.
[2025-05-07T23:28:19.106Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:28:19.106Z] Top recommended movies for user id 72:
[2025-05-07T23:28:19.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:28:19.107Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:28:19.107Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:28:19.107Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:28:19.107Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:28:19.107Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14599.109 ms) ======
[2025-05-07T23:28:19.107Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-07T23:28:19.107Z] GC before operation: completed in 134.401 ms, heap usage 1.117 GB -> 98.382 MB.
[2025-05-07T23:28:21.069Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:28:23.029Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:28:25.878Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:28:27.842Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:28:28.796Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:28:30.752Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:28:31.706Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:28:33.662Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:28:33.662Z] 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.
[2025-05-07T23:28:33.662Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:28:33.662Z] Top recommended movies for user id 72:
[2025-05-07T23:28:33.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:28:33.662Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:28:33.662Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:28:33.662Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:28:33.662Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:28:33.662Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14605.819 ms) ======
[2025-05-07T23:28:33.662Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-07T23:28:33.662Z] GC before operation: completed in 150.839 ms, heap usage 1.167 GB -> 97.497 MB.
[2025-05-07T23:28:36.680Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:28:38.639Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:28:40.597Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:28:42.685Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:28:44.641Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:28:45.596Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:28:46.549Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:28:48.506Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:28:48.506Z] 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.
[2025-05-07T23:28:48.506Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:28:48.506Z] Top recommended movies for user id 72:
[2025-05-07T23:28:48.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:28:48.506Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:28:48.506Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:28:48.506Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:28:48.506Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:28:48.506Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14863.438 ms) ======
[2025-05-07T23:28:48.506Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-07T23:28:48.506Z] GC before operation: completed in 153.317 ms, heap usage 990.629 MB -> 96.989 MB.
[2025-05-07T23:28:51.535Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:28:53.521Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:28:55.476Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:28:57.429Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:28:58.390Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:29:00.349Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:29:01.303Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:29:02.256Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:29:03.209Z] 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.
[2025-05-07T23:29:03.209Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:29:03.209Z] Top recommended movies for user id 72:
[2025-05-07T23:29:03.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:29:03.209Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:29:03.209Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:29:03.209Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:29:03.209Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:29:03.209Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14330.040 ms) ======
[2025-05-07T23:29:03.209Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-07T23:29:03.209Z] GC before operation: completed in 142.824 ms, heap usage 1.218 GB -> 97.635 MB.
[2025-05-07T23:29:05.165Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:29:08.186Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:29:10.142Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:29:12.100Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:29:15.122Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:29:16.075Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:29:18.033Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:29:18.987Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:29:18.987Z] 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.
[2025-05-07T23:29:18.987Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:29:18.987Z] Top recommended movies for user id 72:
[2025-05-07T23:29:18.987Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:29:18.987Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:29:18.987Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:29:18.987Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:29:18.987Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:29:18.987Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16164.506 ms) ======
[2025-05-07T23:29:18.987Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-07T23:29:18.987Z] GC before operation: completed in 144.617 ms, heap usage 330.364 MB -> 93.111 MB.
[2025-05-07T23:29:22.004Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:29:25.023Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:29:26.980Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:29:28.935Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:29:31.299Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:29:31.299Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:29:33.256Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:29:34.207Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:29:34.208Z] 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.
[2025-05-07T23:29:34.208Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:29:35.160Z] Top recommended movies for user id 72:
[2025-05-07T23:29:35.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:29:35.160Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:29:35.160Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:29:35.160Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:29:35.160Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:29:35.160Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15333.597 ms) ======
[2025-05-07T23:29:35.160Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-07T23:29:35.160Z] GC before operation: completed in 140.489 ms, heap usage 202.942 MB -> 93.882 MB.
[2025-05-07T23:29:37.115Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:29:40.133Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:29:42.213Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:29:44.168Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:29:45.120Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:29:47.076Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:29:48.029Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:29:48.982Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:29:48.982Z] 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.
[2025-05-07T23:29:48.982Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:29:49.934Z] Top recommended movies for user id 72:
[2025-05-07T23:29:49.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:29:49.934Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:29:49.934Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:29:49.934Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:29:49.934Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:29:49.934Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14591.679 ms) ======
[2025-05-07T23:29:49.935Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-07T23:29:49.935Z] GC before operation: completed in 125.964 ms, heap usage 1.378 GB -> 100.703 MB.
[2025-05-07T23:29:51.888Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:29:54.942Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:29:56.897Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:29:59.912Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:30:00.864Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:30:02.821Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:30:03.774Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:30:05.731Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:30:05.731Z] 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.
[2025-05-07T23:30:05.731Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:30:05.731Z] Top recommended movies for user id 72:
[2025-05-07T23:30:05.731Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:30:05.731Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:30:05.731Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:30:05.731Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:30:05.731Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:30:05.731Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16395.878 ms) ======
[2025-05-07T23:30:05.731Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-07T23:30:05.731Z] GC before operation: completed in 127.899 ms, heap usage 1.121 GB -> 99.888 MB.
[2025-05-07T23:30:08.756Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:30:10.710Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:30:13.730Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:30:15.685Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:30:16.638Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:30:17.591Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:30:19.546Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:30:20.501Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:30:20.501Z] 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.
[2025-05-07T23:30:20.501Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:30:20.501Z] Top recommended movies for user id 72:
[2025-05-07T23:30:20.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:30:20.501Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:30:20.501Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:30:20.501Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:30:20.501Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:30:20.501Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14628.079 ms) ======
[2025-05-07T23:30:20.501Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-07T23:30:20.501Z] GC before operation: completed in 151.929 ms, heap usage 1.576 GB -> 100.519 MB.
[2025-05-07T23:30:23.517Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:30:25.472Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:30:27.428Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:30:29.382Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:30:31.338Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:30:32.291Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:30:33.244Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:30:35.199Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:30:35.199Z] 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.
[2025-05-07T23:30:35.199Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:30:35.199Z] Top recommended movies for user id 72:
[2025-05-07T23:30:35.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:30:35.199Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:30:35.199Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:30:35.199Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:30:35.199Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:30:35.199Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14083.443 ms) ======
[2025-05-07T23:30:35.199Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-07T23:30:35.199Z] GC before operation: completed in 152.649 ms, heap usage 271.042 MB -> 95.633 MB.
[2025-05-07T23:30:37.154Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:30:40.730Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:30:41.683Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:30:43.637Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:30:45.593Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:30:46.545Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:30:48.500Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:30:49.451Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:30:49.451Z] 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.
[2025-05-07T23:30:49.451Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:30:50.409Z] Top recommended movies for user id 72:
[2025-05-07T23:30:50.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:30:50.409Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:30:50.409Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:30:50.409Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:30:50.409Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:30:50.409Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14755.561 ms) ======
[2025-05-07T23:30:50.409Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-07T23:30:50.409Z] GC before operation: completed in 142.769 ms, heap usage 466.096 MB -> 93.234 MB.
[2025-05-07T23:30:53.425Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:30:55.380Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:30:57.335Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:31:00.351Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:31:01.303Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:31:02.255Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:31:03.208Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:31:05.166Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:31:05.166Z] 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.
[2025-05-07T23:31:05.166Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:31:05.166Z] Top recommended movies for user id 72:
[2025-05-07T23:31:05.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:31:05.166Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:31:05.166Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:31:05.166Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:31:05.166Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:31:05.166Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15144.516 ms) ======
[2025-05-07T23:31:05.166Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-07T23:31:05.166Z] GC before operation: completed in 153.296 ms, heap usage 919.444 MB -> 99.719 MB.
[2025-05-07T23:31:08.189Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:31:10.146Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:31:12.103Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:31:14.059Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:31:16.014Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:31:16.967Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:31:17.920Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:31:19.876Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:31:19.876Z] 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.
[2025-05-07T23:31:19.876Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:31:19.876Z] Top recommended movies for user id 72:
[2025-05-07T23:31:19.876Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:31:19.876Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:31:19.876Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:31:19.876Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:31:19.876Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:31:19.876Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14296.631 ms) ======
[2025-05-07T23:31:19.876Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-07T23:31:19.876Z] GC before operation: completed in 142.120 ms, heap usage 1.049 GB -> 99.647 MB.
[2025-05-07T23:31:21.831Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:31:23.786Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:31:25.742Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:31:27.701Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:31:29.657Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:31:30.611Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:31:32.566Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:31:33.519Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:31:33.519Z] 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.
[2025-05-07T23:31:33.519Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:31:33.519Z] Top recommended movies for user id 72:
[2025-05-07T23:31:33.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:31:33.519Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:31:33.519Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:31:33.519Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:31:33.519Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:31:33.519Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13897.289 ms) ======
[2025-05-07T23:31:33.519Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-07T23:31:33.519Z] GC before operation: completed in 140.483 ms, heap usage 364.062 MB -> 93.295 MB.
[2025-05-07T23:31:36.535Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T23:31:39.551Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T23:31:41.506Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T23:31:44.688Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T23:31:46.366Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T23:31:47.321Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T23:31:48.273Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T23:31:50.232Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T23:31:50.232Z] 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.
[2025-05-07T23:31:50.232Z] The best model improves the baseline by 14.43%.
[2025-05-07T23:31:50.232Z] Top recommended movies for user id 72:
[2025-05-07T23:31:50.232Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-07T23:31:50.232Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-07T23:31:50.232Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-07T23:31:50.232Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-07T23:31:50.232Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-07T23:31:50.232Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16612.611 ms) ======
[2025-05-07T23:31:52.194Z] -----------------------------------
[2025-05-07T23:31:52.194Z] renaissance-movie-lens_0_PASSED
[2025-05-07T23:31:52.194Z] -----------------------------------
[2025-05-07T23:31:52.194Z]
[2025-05-07T23:31:52.194Z] TEST TEARDOWN:
[2025-05-07T23:31:52.194Z] Nothing to be done for teardown.
[2025-05-07T23:31:52.194Z] renaissance-movie-lens_0 Finish Time: Wed May 7 23:31:51 2025 Epoch Time (ms): 1746660711426