renaissance-movie-lens_0
[2025-07-16T12:48:00.134Z] Running test renaissance-movie-lens_0 ...
[2025-07-16T12:48:00.134Z] ===============================================
[2025-07-16T12:48:00.134Z] renaissance-movie-lens_0 Start Time: Wed Jul 16 12:47:59 2025 Epoch Time (ms): 1752670079346
[2025-07-16T12:48:01.068Z] variation: NoOptions
[2025-07-16T12:48:01.068Z] JVM_OPTIONS:
[2025-07-16T12:48:01.068Z] { \
[2025-07-16T12:48:01.068Z] echo ""; echo "TEST SETUP:"; \
[2025-07-16T12:48:01.068Z] echo "Nothing to be done for setup."; \
[2025-07-16T12:48:01.068Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17526688148788/renaissance-movie-lens_0"; \
[2025-07-16T12:48:01.068Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17526688148788/renaissance-movie-lens_0"; \
[2025-07-16T12:48:01.068Z] echo ""; echo "TESTING:"; \
[2025-07-16T12:48:01.068Z] "/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_17526688148788/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-07-16T12:48:01.069Z] 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_17526688148788/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-07-16T12:48:01.069Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-07-16T12:48:01.069Z] echo "Nothing to be done for teardown."; \
[2025-07-16T12:48:01.069Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17526688148788/TestTargetResult";
[2025-07-16T12:48:01.069Z]
[2025-07-16T12:48:01.069Z] TEST SETUP:
[2025-07-16T12:48:01.069Z] Nothing to be done for setup.
[2025-07-16T12:48:01.069Z]
[2025-07-16T12:48:01.069Z] TESTING:
[2025-07-16T12:48:07.729Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-07-16T12:48:25.761Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-07-16T12:48:25.761Z] Training: 60056, validation: 20285, test: 19854
[2025-07-16T12:48:25.761Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-07-16T12:48:25.761Z] GC before operation: completed in 303.901 ms, heap usage 350.432 MB -> 75.131 MB.
[2025-07-16T12:48:35.313Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:48:40.583Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:48:44.643Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:48:48.703Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:48:50.609Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:48:53.554Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:48:55.459Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:48:57.365Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:48:58.293Z] 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.
[2025-07-16T12:48:58.293Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:48:58.293Z] Top recommended movies for user id 72:
[2025-07-16T12:48:58.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:48:58.293Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:48:58.293Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:48:58.293Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:48:58.293Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:48:58.293Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32313.647 ms) ======
[2025-07-16T12:48:58.293Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-07-16T12:48:58.293Z] GC before operation: completed in 250.301 ms, heap usage 747.115 MB -> 88.725 MB.
[2025-07-16T12:49:02.361Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:49:06.447Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:49:09.395Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:49:12.339Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:49:14.253Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:49:16.158Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:49:18.119Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:49:20.025Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:49:20.954Z] 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.
[2025-07-16T12:49:20.954Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:49:20.954Z] Top recommended movies for user id 72:
[2025-07-16T12:49:20.954Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:49:20.954Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:49:20.954Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:49:20.954Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:49:20.954Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:49:20.954Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (22300.011 ms) ======
[2025-07-16T12:49:20.954Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-07-16T12:49:20.954Z] GC before operation: completed in 388.465 ms, heap usage 825.760 MB -> 93.378 MB.
[2025-07-16T12:49:25.077Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:49:29.134Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:49:32.074Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:49:36.127Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:49:38.036Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:49:39.943Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:49:41.845Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:49:44.825Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:49:44.825Z] 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.
[2025-07-16T12:49:44.825Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:49:45.751Z] Top recommended movies for user id 72:
[2025-07-16T12:49:45.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:49:45.751Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:49:45.751Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:49:45.751Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:49:45.751Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:49:45.751Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24068.455 ms) ======
[2025-07-16T12:49:45.751Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-07-16T12:49:45.751Z] GC before operation: completed in 239.979 ms, heap usage 148.370 MB -> 91.418 MB.
[2025-07-16T12:49:49.809Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:49:52.755Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:49:55.703Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:49:59.759Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:50:01.672Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:50:03.583Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:50:06.532Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:50:08.459Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:50:09.389Z] 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.
[2025-07-16T12:50:09.389Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:50:09.389Z] Top recommended movies for user id 72:
[2025-07-16T12:50:09.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:50:09.389Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:50:09.389Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:50:09.389Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:50:09.389Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:50:09.389Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23833.406 ms) ======
[2025-07-16T12:50:09.389Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-07-16T12:50:09.389Z] GC before operation: completed in 329.288 ms, heap usage 272.231 MB -> 90.568 MB.
[2025-07-16T12:50:13.441Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:50:18.323Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:50:20.259Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:50:24.317Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:50:26.227Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:50:29.170Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:50:31.140Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:50:33.046Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:50:33.975Z] 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.
[2025-07-16T12:50:33.975Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:50:33.975Z] Top recommended movies for user id 72:
[2025-07-16T12:50:33.975Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:50:33.975Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:50:33.975Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:50:33.975Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:50:33.975Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:50:33.975Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24382.589 ms) ======
[2025-07-16T12:50:33.975Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-07-16T12:50:33.975Z] GC before operation: completed in 257.284 ms, heap usage 774.506 MB -> 94.333 MB.
[2025-07-16T12:50:38.045Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:50:42.099Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:50:46.197Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:50:49.261Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:50:51.168Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:50:54.117Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:50:56.025Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:50:58.996Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:50:58.996Z] 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.
[2025-07-16T12:50:58.996Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:50:59.927Z] Top recommended movies for user id 72:
[2025-07-16T12:50:59.927Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:50:59.927Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:50:59.927Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:50:59.927Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:50:59.927Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:50:59.927Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25328.748 ms) ======
[2025-07-16T12:50:59.927Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-07-16T12:50:59.927Z] GC before operation: completed in 269.626 ms, heap usage 135.539 MB -> 93.159 MB.
[2025-07-16T12:51:03.993Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:51:06.942Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:51:09.891Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:51:13.956Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:51:15.866Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:51:17.773Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:51:19.679Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:51:22.636Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:51:22.636Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T12:51:22.636Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:51:23.565Z] Top recommended movies for user id 72:
[2025-07-16T12:51:23.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:51:23.565Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:51:23.565Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:51:23.565Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:51:23.565Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:51:23.565Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23125.628 ms) ======
[2025-07-16T12:51:23.565Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-07-16T12:51:23.565Z] GC before operation: completed in 226.843 ms, heap usage 222.386 MB -> 90.842 MB.
[2025-07-16T12:51:27.622Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:51:30.570Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:51:33.545Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:51:37.624Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:51:39.537Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:51:41.448Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:51:43.358Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:51:46.305Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:51:46.305Z] 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.
[2025-07-16T12:51:46.305Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:51:46.305Z] Top recommended movies for user id 72:
[2025-07-16T12:51:46.305Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:51:46.305Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:51:46.305Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:51:46.305Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:51:46.305Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:51:46.305Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23225.256 ms) ======
[2025-07-16T12:51:46.305Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-07-16T12:51:47.232Z] GC before operation: completed in 246.334 ms, heap usage 561.315 MB -> 91.272 MB.
[2025-07-16T12:51:50.182Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:51:54.240Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:51:57.185Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:52:00.310Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:52:02.219Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:52:04.127Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:52:06.036Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:52:08.985Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:52:08.985Z] 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.
[2025-07-16T12:52:08.985Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:52:08.985Z] Top recommended movies for user id 72:
[2025-07-16T12:52:08.985Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:52:08.985Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:52:08.985Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:52:08.985Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:52:08.985Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:52:08.985Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22565.417 ms) ======
[2025-07-16T12:52:08.985Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-07-16T12:52:09.916Z] GC before operation: completed in 238.218 ms, heap usage 776.646 MB -> 94.657 MB.
[2025-07-16T12:52:12.870Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:52:16.944Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:52:19.899Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:52:23.953Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:52:25.870Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:52:27.786Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:52:29.699Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:52:32.084Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:52:32.084Z] 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.
[2025-07-16T12:52:33.038Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:52:33.038Z] Top recommended movies for user id 72:
[2025-07-16T12:52:33.038Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:52:33.038Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:52:33.038Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:52:33.038Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:52:33.038Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:52:33.038Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23169.595 ms) ======
[2025-07-16T12:52:33.038Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-07-16T12:52:33.038Z] GC before operation: completed in 219.268 ms, heap usage 790.122 MB -> 94.896 MB.
[2025-07-16T12:52:35.984Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:52:40.039Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:52:42.984Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:52:45.939Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:52:47.845Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:52:49.754Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:52:51.662Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:52:53.567Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:52:54.495Z] 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.
[2025-07-16T12:52:54.496Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:52:54.496Z] Top recommended movies for user id 72:
[2025-07-16T12:52:54.496Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:52:54.496Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:52:54.496Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:52:54.496Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:52:54.496Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:52:54.496Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21629.636 ms) ======
[2025-07-16T12:52:54.496Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-07-16T12:52:54.496Z] GC before operation: completed in 233.232 ms, heap usage 684.109 MB -> 91.166 MB.
[2025-07-16T12:52:58.566Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:53:01.516Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:53:04.464Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:53:07.405Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:53:09.315Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:53:12.263Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:53:14.169Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:53:16.076Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:53:16.076Z] 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.
[2025-07-16T12:53:16.076Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:53:17.005Z] Top recommended movies for user id 72:
[2025-07-16T12:53:17.005Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:53:17.005Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:53:17.005Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:53:17.005Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:53:17.005Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:53:17.005Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21717.228 ms) ======
[2025-07-16T12:53:17.005Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-07-16T12:53:17.005Z] GC before operation: completed in 220.125 ms, heap usage 172.421 MB -> 90.932 MB.
[2025-07-16T12:53:20.075Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:53:23.022Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:53:25.975Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:53:28.922Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:53:30.834Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:53:32.741Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:53:34.651Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:53:36.556Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:53:37.493Z] 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.
[2025-07-16T12:53:37.493Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:53:37.493Z] Top recommended movies for user id 72:
[2025-07-16T12:53:37.493Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:53:37.493Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:53:37.493Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:53:37.493Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:53:37.493Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:53:37.493Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (20899.531 ms) ======
[2025-07-16T12:53:37.493Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-07-16T12:53:37.493Z] GC before operation: completed in 239.133 ms, heap usage 519.729 MB -> 91.378 MB.
[2025-07-16T12:53:41.560Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:53:44.506Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:53:47.449Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:53:51.505Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:53:53.414Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:53:55.319Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:53:57.296Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:53:59.225Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:53:59.225Z] 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.
[2025-07-16T12:53:59.225Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:54:00.153Z] Top recommended movies for user id 72:
[2025-07-16T12:54:00.154Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:54:00.154Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:54:00.154Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:54:00.154Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:54:00.154Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:54:00.154Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21845.827 ms) ======
[2025-07-16T12:54:00.154Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-07-16T12:54:00.154Z] GC before operation: completed in 228.422 ms, heap usage 709.022 MB -> 91.375 MB.
[2025-07-16T12:54:04.207Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:54:07.153Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:54:10.096Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:54:13.040Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:54:14.945Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:54:16.849Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:54:18.753Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:54:20.661Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:54:21.588Z] 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.
[2025-07-16T12:54:21.588Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:54:21.588Z] Top recommended movies for user id 72:
[2025-07-16T12:54:21.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:54:21.588Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:54:21.588Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:54:21.588Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:54:21.588Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:54:21.588Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21897.194 ms) ======
[2025-07-16T12:54:21.588Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-07-16T12:54:22.516Z] GC before operation: completed in 236.661 ms, heap usage 523.154 MB -> 91.482 MB.
[2025-07-16T12:54:25.463Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:54:28.408Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:54:32.473Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:54:35.416Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:54:37.326Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:54:39.264Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:54:41.172Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:54:43.541Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:54:43.541Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-16T12:54:43.541Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:54:43.541Z] Top recommended movies for user id 72:
[2025-07-16T12:54:43.541Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:54:43.541Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:54:43.541Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:54:43.541Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:54:43.541Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:54:43.541Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21592.125 ms) ======
[2025-07-16T12:54:43.541Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-07-16T12:54:44.469Z] GC before operation: completed in 257.848 ms, heap usage 819.282 MB -> 94.847 MB.
[2025-07-16T12:54:47.413Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:54:50.358Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:54:53.300Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:54:56.241Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:54:58.149Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:55:00.052Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:55:01.959Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:55:03.864Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:55:04.793Z] 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.
[2025-07-16T12:55:04.793Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:55:04.793Z] Top recommended movies for user id 72:
[2025-07-16T12:55:04.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:55:04.793Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:55:04.793Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:55:04.793Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:55:04.793Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:55:04.793Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21056.285 ms) ======
[2025-07-16T12:55:04.793Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-07-16T12:55:05.723Z] GC before operation: completed in 218.152 ms, heap usage 769.675 MB -> 94.909 MB.
[2025-07-16T12:55:08.664Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:55:11.613Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:55:14.553Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:55:17.653Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:55:19.558Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:55:21.464Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:55:23.367Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:55:25.315Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:55:26.241Z] 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.
[2025-07-16T12:55:26.241Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:55:26.241Z] Top recommended movies for user id 72:
[2025-07-16T12:55:26.241Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:55:26.241Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:55:26.241Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:55:26.241Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:55:26.241Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:55:26.242Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21281.360 ms) ======
[2025-07-16T12:55:26.242Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-07-16T12:55:27.169Z] GC before operation: completed in 232.230 ms, heap usage 809.378 MB -> 94.739 MB.
[2025-07-16T12:55:30.122Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:55:33.104Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:55:36.052Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:55:38.992Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:55:40.930Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:55:42.930Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:55:44.835Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:55:46.738Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:55:47.665Z] 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.
[2025-07-16T12:55:47.665Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:55:47.665Z] Top recommended movies for user id 72:
[2025-07-16T12:55:47.665Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:55:47.665Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:55:47.665Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:55:47.665Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:55:47.665Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:55:47.665Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21029.393 ms) ======
[2025-07-16T12:55:47.665Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-07-16T12:55:47.665Z] GC before operation: completed in 241.582 ms, heap usage 573.320 MB -> 91.376 MB.
[2025-07-16T12:55:51.720Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-16T12:55:54.666Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-16T12:55:57.608Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-16T12:56:00.563Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-16T12:56:02.482Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-16T12:56:04.387Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-16T12:56:06.295Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-16T12:56:08.199Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-16T12:56:09.129Z] 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.
[2025-07-16T12:56:09.129Z] The best model improves the baseline by 14.43%.
[2025-07-16T12:56:09.129Z] Top recommended movies for user id 72:
[2025-07-16T12:56:09.129Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-16T12:56:09.129Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-16T12:56:09.129Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-16T12:56:09.129Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-16T12:56:09.129Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-16T12:56:09.129Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21142.037 ms) ======
[2025-07-16T12:56:11.032Z] -----------------------------------
[2025-07-16T12:56:11.032Z] renaissance-movie-lens_0_PASSED
[2025-07-16T12:56:11.032Z] -----------------------------------
[2025-07-16T12:56:11.032Z]
[2025-07-16T12:56:11.032Z] TEST TEARDOWN:
[2025-07-16T12:56:11.032Z] Nothing to be done for teardown.
[2025-07-16T12:56:11.032Z] renaissance-movie-lens_0 Finish Time: Wed Jul 16 12:56:10 2025 Epoch Time (ms): 1752670570135