renaissance-movie-lens_0
[2025-05-16T23:59:59.635Z] Running test renaissance-movie-lens_0 ...
[2025-05-16T23:59:59.635Z] ===============================================
[2025-05-16T23:59:59.635Z] renaissance-movie-lens_0 Start Time: Fri May 16 23:59:59 2025 Epoch Time (ms): 1747439999272
[2025-05-16T23:59:59.635Z] variation: NoOptions
[2025-05-16T23:59:59.635Z] JVM_OPTIONS:
[2025-05-16T23:59:59.635Z] { \
[2025-05-16T23:59:59.635Z] echo ""; echo "TEST SETUP:"; \
[2025-05-16T23:59:59.635Z] echo "Nothing to be done for setup."; \
[2025-05-16T23:59:59.635Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1747438746820/renaissance-movie-lens_0"; \
[2025-05-16T23:59:59.635Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1747438746820/renaissance-movie-lens_0"; \
[2025-05-16T23:59:59.635Z] echo ""; echo "TESTING:"; \
[2025-05-16T23:59:59.635Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1747438746820/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-16T23:59:59.635Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1747438746820/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-16T23:59:59.635Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-16T23:59:59.635Z] echo "Nothing to be done for teardown."; \
[2025-05-16T23:59:59.635Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_1747438746820/TestTargetResult";
[2025-05-16T23:59:59.635Z]
[2025-05-16T23:59:59.635Z] TEST SETUP:
[2025-05-16T23:59:59.635Z] Nothing to be done for setup.
[2025-05-16T23:59:59.635Z]
[2025-05-16T23:59:59.635Z] TESTING:
[2025-05-17T00:00:07.783Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-05-17T00:00:21.249Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-17T00:00:21.249Z] Training: 60056, validation: 20285, test: 19854
[2025-05-17T00:00:21.249Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-17T00:00:22.196Z] GC before operation: completed in 344.519 ms, heap usage 293.227 MB -> 75.109 MB.
[2025-05-17T00:00:30.341Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:00:36.446Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:00:40.591Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:00:44.743Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:00:46.694Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:00:49.723Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:00:51.672Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:00:53.622Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:00:54.573Z] 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.
[2025-05-17T00:00:54.573Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:00:54.573Z] Top recommended movies for user id 72:
[2025-05-17T00:00:54.573Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:00:54.573Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:00:54.573Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:00:54.573Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:00:54.573Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:00:54.573Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32822.943 ms) ======
[2025-05-17T00:00:54.573Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-17T00:00:55.529Z] GC before operation: completed in 376.774 ms, heap usage 760.418 MB -> 92.381 MB.
[2025-05-17T00:00:59.802Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:01:02.818Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:01:06.963Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:01:11.102Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:01:13.115Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:01:15.062Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:01:18.068Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:01:20.029Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:01:20.977Z] 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.
[2025-05-17T00:01:20.978Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:01:20.978Z] Top recommended movies for user id 72:
[2025-05-17T00:01:20.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:01:20.978Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:01:20.978Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:01:20.978Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:01:20.978Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:01:20.978Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25755.605 ms) ======
[2025-05-17T00:01:20.978Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-17T00:01:20.978Z] GC before operation: completed in 285.247 ms, heap usage 670.144 MB -> 89.994 MB.
[2025-05-17T00:01:25.131Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:01:29.700Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:01:32.708Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:01:35.722Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:01:37.669Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:01:40.715Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:01:42.671Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:01:44.618Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:01:45.566Z] 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.
[2025-05-17T00:01:45.566Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:01:45.566Z] Top recommended movies for user id 72:
[2025-05-17T00:01:45.566Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:01:45.566Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:01:45.566Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:01:45.566Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:01:45.566Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:01:45.566Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24579.006 ms) ======
[2025-05-17T00:01:45.566Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-17T00:01:46.514Z] GC before operation: completed in 402.234 ms, heap usage 632.901 MB -> 90.725 MB.
[2025-05-17T00:01:49.529Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:01:52.565Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:01:56.703Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:01:58.768Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:02:01.776Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:02:03.725Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:02:05.673Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:02:07.620Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:02:08.588Z] 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.
[2025-05-17T00:02:08.588Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:02:08.588Z] Top recommended movies for user id 72:
[2025-05-17T00:02:08.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:02:08.588Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:02:08.588Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:02:08.588Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:02:08.588Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:02:08.588Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (22288.394 ms) ======
[2025-05-17T00:02:08.588Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-17T00:02:08.588Z] GC before operation: completed in 376.623 ms, heap usage 343.870 MB -> 90.783 MB.
[2025-05-17T00:02:12.733Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:02:14.681Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:02:17.717Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:02:20.379Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:02:22.338Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:02:24.284Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:02:26.231Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:02:28.179Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:02:28.179Z] 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.
[2025-05-17T00:02:28.179Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:02:28.179Z] Top recommended movies for user id 72:
[2025-05-17T00:02:28.179Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:02:28.179Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:02:28.179Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:02:28.179Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:02:28.179Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:02:28.179Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19231.039 ms) ======
[2025-05-17T00:02:28.179Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-17T00:02:28.179Z] GC before operation: completed in 458.009 ms, heap usage 833.581 MB -> 94.368 MB.
[2025-05-17T00:02:31.186Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:02:34.203Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:02:37.213Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:02:40.222Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:02:42.170Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:02:43.119Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:02:45.074Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:02:47.021Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:02:47.021Z] 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.
[2025-05-17T00:02:47.021Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:02:47.021Z] Top recommended movies for user id 72:
[2025-05-17T00:02:47.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:02:47.021Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:02:47.021Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:02:47.021Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:02:47.021Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:02:47.021Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18856.888 ms) ======
[2025-05-17T00:02:47.021Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-17T00:02:47.970Z] GC before operation: completed in 238.446 ms, heap usage 605.008 MB -> 91.296 MB.
[2025-05-17T00:02:51.003Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:02:54.011Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:02:57.041Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:03:00.052Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:03:03.061Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:03:05.009Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:03:06.957Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:03:08.904Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:03:08.904Z] 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.
[2025-05-17T00:03:08.904Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:03:09.853Z] Top recommended movies for user id 72:
[2025-05-17T00:03:09.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:03:09.853Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:03:09.853Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:03:09.853Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:03:09.853Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:03:09.853Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21855.980 ms) ======
[2025-05-17T00:03:09.853Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-17T00:03:09.853Z] GC before operation: completed in 411.841 ms, heap usage 269.290 MB -> 94.033 MB.
[2025-05-17T00:03:13.344Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:03:16.351Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:03:19.356Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:03:22.377Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:03:24.323Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:03:27.325Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:03:29.270Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:03:31.218Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:03:31.218Z] 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.
[2025-05-17T00:03:31.218Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:03:32.168Z] Top recommended movies for user id 72:
[2025-05-17T00:03:32.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:03:32.168Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:03:32.168Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:03:32.168Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:03:32.168Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:03:32.168Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21840.188 ms) ======
[2025-05-17T00:03:32.168Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-17T00:03:32.168Z] GC before operation: completed in 234.242 ms, heap usage 635.850 MB -> 91.335 MB.
[2025-05-17T00:03:35.201Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:03:38.207Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:03:42.344Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:03:45.396Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:03:47.345Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:03:49.293Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:03:51.242Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:03:53.190Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:03:54.141Z] 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.
[2025-05-17T00:03:54.141Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:03:54.141Z] Top recommended movies for user id 72:
[2025-05-17T00:03:54.141Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:03:54.141Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:03:54.141Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:03:54.141Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:03:54.141Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:03:54.141Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22129.546 ms) ======
[2025-05-17T00:03:54.141Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-17T00:03:54.141Z] GC before operation: completed in 232.004 ms, heap usage 680.039 MB -> 91.275 MB.
[2025-05-17T00:03:58.363Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:04:00.312Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:04:04.014Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:04:07.037Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:04:08.984Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:04:10.931Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:04:13.055Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:04:15.045Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:04:15.045Z] 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.
[2025-05-17T00:04:15.045Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:04:15.993Z] Top recommended movies for user id 72:
[2025-05-17T00:04:15.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:04:15.993Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:04:15.993Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:04:15.993Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:04:15.993Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:04:15.993Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21200.639 ms) ======
[2025-05-17T00:04:15.993Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-17T00:04:15.993Z] GC before operation: completed in 236.845 ms, heap usage 769.529 MB -> 94.909 MB.
[2025-05-17T00:04:19.000Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:04:22.954Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:04:25.960Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:04:28.999Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:04:30.948Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:04:32.898Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:04:34.848Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:04:36.796Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:04:37.745Z] 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.
[2025-05-17T00:04:37.745Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:04:37.745Z] Top recommended movies for user id 72:
[2025-05-17T00:04:37.745Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:04:37.745Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:04:37.745Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:04:37.745Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:04:37.745Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:04:37.745Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (22248.901 ms) ======
[2025-05-17T00:04:37.745Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-17T00:04:38.694Z] GC before operation: completed in 382.560 ms, heap usage 661.054 MB -> 91.185 MB.
[2025-05-17T00:04:42.833Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:04:45.847Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:04:48.853Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:04:51.864Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:04:53.816Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:04:56.481Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:04:58.444Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:05:00.391Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:05:00.391Z] 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.
[2025-05-17T00:05:00.391Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:05:01.341Z] Top recommended movies for user id 72:
[2025-05-17T00:05:01.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:05:01.341Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:05:01.341Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:05:01.341Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:05:01.341Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:05:01.341Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (22663.186 ms) ======
[2025-05-17T00:05:01.341Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-17T00:05:01.341Z] GC before operation: completed in 234.004 ms, heap usage 304.693 MB -> 91.067 MB.
[2025-05-17T00:05:04.356Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:05:08.503Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:05:11.509Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:05:14.519Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:05:16.471Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:05:18.422Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:05:20.370Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:05:22.318Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:05:23.266Z] 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.
[2025-05-17T00:05:23.266Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:05:23.266Z] Top recommended movies for user id 72:
[2025-05-17T00:05:23.266Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:05:23.266Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:05:23.266Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:05:23.266Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:05:23.266Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:05:23.266Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (21906.431 ms) ======
[2025-05-17T00:05:23.266Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-17T00:05:23.266Z] GC before operation: completed in 404.012 ms, heap usage 580.634 MB -> 91.411 MB.
[2025-05-17T00:05:27.401Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:05:30.411Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:05:33.418Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:05:36.426Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:05:38.387Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:05:40.335Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:05:43.339Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:05:45.993Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:05:45.993Z] 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.
[2025-05-17T00:05:45.993Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:05:45.993Z] Top recommended movies for user id 72:
[2025-05-17T00:05:45.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:05:45.993Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:05:45.993Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:05:45.993Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:05:45.993Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:05:45.993Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22105.624 ms) ======
[2025-05-17T00:05:45.993Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-17T00:05:45.993Z] GC before operation: completed in 243.440 ms, heap usage 680.822 MB -> 91.401 MB.
[2025-05-17T00:05:49.001Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:05:53.137Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:05:56.245Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:05:59.300Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:06:01.248Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:06:03.196Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:06:05.144Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:06:07.093Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:06:07.093Z] 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.
[2025-05-17T00:06:07.093Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:06:08.041Z] Top recommended movies for user id 72:
[2025-05-17T00:06:08.041Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:06:08.041Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:06:08.041Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:06:08.041Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:06:08.041Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:06:08.041Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21843.627 ms) ======
[2025-05-17T00:06:08.041Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-17T00:06:08.041Z] GC before operation: completed in 393.630 ms, heap usage 600.790 MB -> 91.601 MB.
[2025-05-17T00:06:12.179Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:06:15.205Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:06:18.208Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:06:21.215Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:06:23.162Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:06:25.111Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:06:28.116Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:06:30.065Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:06:30.066Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-05-17T00:06:30.066Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:06:30.066Z] Top recommended movies for user id 72:
[2025-05-17T00:06:30.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:06:30.066Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:06:30.066Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:06:30.066Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:06:30.066Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:06:30.066Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22236.218 ms) ======
[2025-05-17T00:06:30.066Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-17T00:06:31.013Z] GC before operation: completed in 314.177 ms, heap usage 509.013 MB -> 91.305 MB.
[2025-05-17T00:06:35.150Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:06:37.790Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:06:40.796Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:06:45.008Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:06:46.953Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:06:48.963Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:06:51.974Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:06:53.921Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:06:55.115Z] 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.
[2025-05-17T00:06:55.115Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:06:55.115Z] Top recommended movies for user id 72:
[2025-05-17T00:06:55.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:06:55.115Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:06:55.115Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:06:55.115Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:06:55.115Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:06:55.115Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24489.151 ms) ======
[2025-05-17T00:06:55.115Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-17T00:06:56.063Z] GC before operation: completed in 426.380 ms, heap usage 588.193 MB -> 91.399 MB.
[2025-05-17T00:07:00.305Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:07:03.340Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:07:07.483Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:07:10.590Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:07:13.769Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:07:15.840Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:07:17.786Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:07:20.789Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:07:20.789Z] 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.
[2025-05-17T00:07:20.789Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:07:20.789Z] Top recommended movies for user id 72:
[2025-05-17T00:07:20.789Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:07:20.789Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:07:20.789Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:07:20.789Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:07:20.789Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:07:20.789Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (25583.641 ms) ======
[2025-05-17T00:07:20.789Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-17T00:07:21.738Z] GC before operation: completed in 533.803 ms, heap usage 1.165 GB -> 95.332 MB.
[2025-05-17T00:07:25.874Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:07:28.883Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:07:32.578Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:07:35.584Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:07:38.588Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:07:40.535Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:07:42.483Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:07:44.430Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:07:45.380Z] 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.
[2025-05-17T00:07:45.380Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:07:45.380Z] Top recommended movies for user id 72:
[2025-05-17T00:07:45.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:07:45.380Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:07:45.380Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:07:45.380Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:07:45.380Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:07:45.380Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23843.739 ms) ======
[2025-05-17T00:07:45.380Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-17T00:07:46.339Z] GC before operation: completed in 419.498 ms, heap usage 589.804 MB -> 91.379 MB.
[2025-05-17T00:07:49.346Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-17T00:07:53.485Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-17T00:07:56.641Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-17T00:07:59.801Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-17T00:08:01.752Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-17T00:08:03.702Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-17T00:08:06.711Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-17T00:08:08.663Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-17T00:08:08.663Z] 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.
[2025-05-17T00:08:08.663Z] The best model improves the baseline by 14.43%.
[2025-05-17T00:08:08.663Z] Top recommended movies for user id 72:
[2025-05-17T00:08:08.663Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-05-17T00:08:08.663Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-05-17T00:08:08.663Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-05-17T00:08:08.663Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-05-17T00:08:08.663Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-05-17T00:08:08.663Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23059.991 ms) ======
[2025-05-17T00:08:10.625Z] -----------------------------------
[2025-05-17T00:08:10.625Z] renaissance-movie-lens_0_PASSED
[2025-05-17T00:08:10.625Z] -----------------------------------
[2025-05-17T00:08:10.625Z]
[2025-05-17T00:08:10.625Z] TEST TEARDOWN:
[2025-05-17T00:08:10.625Z] Nothing to be done for teardown.
[2025-05-17T00:08:10.625Z] renaissance-movie-lens_0 Finish Time: Sat May 17 00:08:10 2025 Epoch Time (ms): 1747440490436