renaissance-movie-lens_0
[2025-06-18T23:37:07.146Z] Running test renaissance-movie-lens_0 ...
[2025-06-18T23:37:07.146Z] ===============================================
[2025-06-18T23:37:07.146Z] renaissance-movie-lens_0 Start Time: Wed Jun 18 23:37:06 2025 Epoch Time (ms): 1750289826981
[2025-06-18T23:37:07.146Z] variation: NoOptions
[2025-06-18T23:37:07.146Z] JVM_OPTIONS:
[2025-06-18T23:37:07.146Z] { \
[2025-06-18T23:37:07.146Z] echo ""; echo "TEST SETUP:"; \
[2025-06-18T23:37:07.146Z] echo "Nothing to be done for setup."; \
[2025-06-18T23:37:07.146Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17502884342492/renaissance-movie-lens_0"; \
[2025-06-18T23:37:07.146Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17502884342492/renaissance-movie-lens_0"; \
[2025-06-18T23:37:07.146Z] echo ""; echo "TESTING:"; \
[2025-06-18T23:37:07.147Z] "/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_17502884342492/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-18T23:37:07.147Z] 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_17502884342492/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-18T23:37:07.147Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-18T23:37:07.147Z] echo "Nothing to be done for teardown."; \
[2025-06-18T23:37:07.147Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17502884342492/TestTargetResult";
[2025-06-18T23:37:07.147Z]
[2025-06-18T23:37:07.147Z] TEST SETUP:
[2025-06-18T23:37:07.147Z] Nothing to be done for setup.
[2025-06-18T23:37:07.147Z]
[2025-06-18T23:37:07.147Z] TESTING:
[2025-06-18T23:37:16.816Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-06-18T23:37:32.481Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-18T23:37:32.481Z] Training: 60056, validation: 20285, test: 19854
[2025-06-18T23:37:32.481Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-18T23:37:32.481Z] GC before operation: completed in 276.941 ms, heap usage 319.438 MB -> 75.142 MB.
[2025-06-18T23:37:42.820Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:37:48.151Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:37:52.253Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:37:56.364Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:37:59.348Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:38:01.276Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:38:04.255Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:38:06.190Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:38:07.131Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:38:07.131Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:38:07.131Z] Top recommended movies for user id 72:
[2025-06-18T23:38:07.132Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:38:07.132Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:38:07.132Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:38:07.132Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:38:07.132Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:38:07.132Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (34847.776 ms) ======
[2025-06-18T23:38:07.132Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-18T23:38:08.071Z] GC before operation: completed in 332.411 ms, heap usage 321.366 MB -> 88.273 MB.
[2025-06-18T23:38:12.176Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:38:15.157Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:38:18.149Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:38:22.254Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:38:24.184Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:38:26.116Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:38:28.047Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:38:30.003Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:38:30.945Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:38:30.945Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:38:30.945Z] Top recommended movies for user id 72:
[2025-06-18T23:38:30.945Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:38:30.945Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:38:30.945Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:38:30.945Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:38:30.945Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:38:30.945Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23273.141 ms) ======
[2025-06-18T23:38:30.945Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-18T23:38:30.945Z] GC before operation: completed in 228.530 ms, heap usage 701.633 MB -> 90.005 MB.
[2025-06-18T23:38:35.055Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:38:38.045Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:38:42.150Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:38:45.832Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:38:46.772Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:38:48.700Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:38:50.630Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:38:52.561Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:38:53.499Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:38:53.499Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:38:53.499Z] Top recommended movies for user id 72:
[2025-06-18T23:38:53.499Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:38:53.499Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:38:53.499Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:38:53.499Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:38:53.499Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:38:53.499Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (22316.412 ms) ======
[2025-06-18T23:38:53.499Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-18T23:38:53.499Z] GC before operation: completed in 319.626 ms, heap usage 283.655 MB -> 90.365 MB.
[2025-06-18T23:38:56.672Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:38:59.822Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:39:02.799Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:39:05.777Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:39:07.706Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:39:09.638Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:39:11.570Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:39:13.499Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:39:14.440Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:39:14.440Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:39:14.440Z] Top recommended movies for user id 72:
[2025-06-18T23:39:14.440Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:39:14.440Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:39:14.440Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:39:14.440Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:39:14.440Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:39:14.440Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20555.399 ms) ======
[2025-06-18T23:39:14.440Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-18T23:39:14.440Z] GC before operation: completed in 234.008 ms, heap usage 394.926 MB -> 90.791 MB.
[2025-06-18T23:39:17.419Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:39:20.400Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:39:23.384Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:39:26.364Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:39:28.293Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:39:30.223Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:39:32.154Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:39:34.082Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:39:34.082Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:39:34.083Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:39:34.083Z] Top recommended movies for user id 72:
[2025-06-18T23:39:34.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:39:34.083Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:39:34.083Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:39:34.083Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:39:34.083Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:39:34.083Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19682.016 ms) ======
[2025-06-18T23:39:34.083Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-18T23:39:35.023Z] GC before operation: completed in 347.238 ms, heap usage 438.467 MB -> 90.706 MB.
[2025-06-18T23:39:38.004Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:39:40.984Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:39:43.965Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:39:46.946Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:39:49.267Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:39:51.200Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:39:52.141Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:39:54.071Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:39:55.011Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:39:55.011Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:39:55.011Z] Top recommended movies for user id 72:
[2025-06-18T23:39:55.011Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:39:55.011Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:39:55.011Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:39:55.011Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:39:55.011Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:39:55.011Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20369.334 ms) ======
[2025-06-18T23:39:55.011Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-18T23:39:55.011Z] GC before operation: completed in 270.365 ms, heap usage 667.149 MB -> 91.390 MB.
[2025-06-18T23:39:59.126Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:40:02.106Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:40:05.087Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:40:09.188Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:40:11.123Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:40:13.053Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:40:15.004Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:40:16.936Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:40:16.936Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:40:16.936Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:40:16.936Z] Top recommended movies for user id 72:
[2025-06-18T23:40:16.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:40:16.937Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:40:16.937Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:40:16.937Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:40:16.937Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:40:16.937Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21982.290 ms) ======
[2025-06-18T23:40:16.937Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-18T23:40:17.878Z] GC before operation: completed in 329.318 ms, heap usage 114.178 MB -> 93.323 MB.
[2025-06-18T23:40:20.861Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:40:23.844Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:40:27.951Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:40:30.928Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:40:32.859Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:40:34.792Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:40:36.720Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:40:38.648Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:40:38.648Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:40:38.648Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:40:38.648Z] Top recommended movies for user id 72:
[2025-06-18T23:40:38.648Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:40:38.648Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:40:38.648Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:40:38.648Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:40:38.648Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:40:38.648Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (21121.040 ms) ======
[2025-06-18T23:40:38.648Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-18T23:40:38.648Z] GC before operation: completed in 228.953 ms, heap usage 543.817 MB -> 91.321 MB.
[2025-06-18T23:40:42.788Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:40:45.768Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:40:48.749Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:40:51.731Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:40:54.392Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:40:55.332Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:40:57.260Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:40:59.188Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:41:00.127Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:41:00.127Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:41:00.127Z] Top recommended movies for user id 72:
[2025-06-18T23:41:00.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:41:00.127Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:41:00.127Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:41:00.127Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:41:00.127Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:41:00.127Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21135.779 ms) ======
[2025-06-18T23:41:00.127Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-18T23:41:00.127Z] GC before operation: completed in 418.105 ms, heap usage 510.621 MB -> 91.184 MB.
[2025-06-18T23:41:04.234Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:41:07.211Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:41:10.189Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:41:13.169Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:41:15.100Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:41:17.028Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:41:18.956Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:41:20.887Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:41:20.887Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:41:20.887Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:41:20.887Z] Top recommended movies for user id 72:
[2025-06-18T23:41:20.887Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:41:20.887Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:41:20.887Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:41:20.887Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:41:20.887Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:41:20.887Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20531.626 ms) ======
[2025-06-18T23:41:20.887Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-18T23:41:20.887Z] GC before operation: completed in 238.718 ms, heap usage 560.876 MB -> 91.416 MB.
[2025-06-18T23:41:24.984Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:41:27.967Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:41:30.949Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:41:35.058Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:41:35.998Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:41:37.927Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:41:39.880Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:41:41.833Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:41:42.772Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:41:42.772Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:41:42.772Z] Top recommended movies for user id 72:
[2025-06-18T23:41:42.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:41:42.772Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:41:42.772Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:41:42.772Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:41:42.772Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:41:42.772Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21378.391 ms) ======
[2025-06-18T23:41:42.772Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-18T23:41:42.772Z] GC before operation: completed in 351.371 ms, heap usage 568.851 MB -> 91.100 MB.
[2025-06-18T23:41:46.559Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:41:49.534Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:41:52.516Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:41:55.589Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:41:57.517Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:41:59.170Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:42:01.099Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:42:03.032Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:42:03.973Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:42:03.973Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:42:03.973Z] Top recommended movies for user id 72:
[2025-06-18T23:42:03.973Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:42:03.973Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:42:03.973Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:42:03.973Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:42:03.973Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:42:03.973Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20899.948 ms) ======
[2025-06-18T23:42:03.973Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-18T23:42:03.973Z] GC before operation: completed in 302.392 ms, heap usage 628.029 MB -> 91.450 MB.
[2025-06-18T23:42:08.076Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:42:11.058Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:42:14.042Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:42:17.022Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:42:20.043Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:42:21.971Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:42:23.900Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:42:25.904Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:42:25.904Z] 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.
[2025-06-18T23:42:25.904Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:42:25.904Z] Top recommended movies for user id 72:
[2025-06-18T23:42:25.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:42:25.904Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:42:25.904Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:42:25.904Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:42:25.904Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:42:25.904Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22141.691 ms) ======
[2025-06-18T23:42:25.904Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-18T23:42:26.843Z] GC before operation: completed in 261.267 ms, heap usage 771.528 MB -> 94.925 MB.
[2025-06-18T23:42:29.825Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:42:34.022Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:42:37.062Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:42:40.045Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:42:42.099Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:42:44.028Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:42:47.006Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:42:48.935Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:42:48.935Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:42:48.935Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:42:48.935Z] Top recommended movies for user id 72:
[2025-06-18T23:42:48.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:42:48.935Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:42:48.935Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:42:48.935Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:42:48.935Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:42:48.935Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22416.196 ms) ======
[2025-06-18T23:42:48.935Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-18T23:42:48.935Z] GC before operation: completed in 394.437 ms, heap usage 527.887 MB -> 91.242 MB.
[2025-06-18T23:42:53.119Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:42:56.286Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:42:58.216Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:43:01.332Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:43:03.262Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:43:04.202Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:43:06.575Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:43:07.515Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:43:07.515Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:43:08.456Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:43:08.456Z] Top recommended movies for user id 72:
[2025-06-18T23:43:08.456Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:43:08.456Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:43:08.456Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:43:08.456Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:43:08.456Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:43:08.456Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18742.538 ms) ======
[2025-06-18T23:43:08.456Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-18T23:43:08.456Z] GC before operation: completed in 496.820 ms, heap usage 500.356 MB -> 91.503 MB.
[2025-06-18T23:43:11.439Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:43:14.417Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:43:16.349Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:43:19.329Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:43:21.261Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:43:23.190Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:43:24.129Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:43:26.058Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:43:26.058Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:43:26.058Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:43:26.058Z] Top recommended movies for user id 72:
[2025-06-18T23:43:26.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:43:26.058Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:43:26.058Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:43:26.058Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:43:26.058Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:43:26.058Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17757.987 ms) ======
[2025-06-18T23:43:26.058Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-18T23:43:26.998Z] GC before operation: completed in 271.311 ms, heap usage 522.536 MB -> 91.333 MB.
[2025-06-18T23:43:30.019Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:43:33.010Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:43:36.265Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:43:39.247Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:43:41.177Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:43:43.104Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:43:45.034Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:43:46.962Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:43:46.962Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:43:46.962Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:43:47.902Z] Top recommended movies for user id 72:
[2025-06-18T23:43:47.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:43:47.902Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:43:47.902Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:43:47.902Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:43:47.902Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:43:47.902Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20840.607 ms) ======
[2025-06-18T23:43:47.902Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-18T23:43:47.902Z] GC before operation: completed in 445.995 ms, heap usage 185.312 MB -> 91.995 MB.
[2025-06-18T23:43:52.003Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:43:54.982Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:43:58.134Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:44:01.125Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:44:03.053Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:44:04.983Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:44:06.911Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:44:08.541Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:44:08.541Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:44:09.483Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:44:09.483Z] Top recommended movies for user id 72:
[2025-06-18T23:44:09.483Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:44:09.483Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:44:09.483Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:44:09.483Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:44:09.483Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:44:09.483Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21250.400 ms) ======
[2025-06-18T23:44:09.483Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-18T23:44:09.483Z] GC before operation: completed in 235.808 ms, heap usage 800.999 MB -> 94.758 MB.
[2025-06-18T23:44:13.591Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:44:16.609Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:44:19.593Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:44:23.703Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:44:25.633Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:44:27.566Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:44:29.499Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:44:31.438Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:44:31.438Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:44:31.438Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:44:31.438Z] Top recommended movies for user id 72:
[2025-06-18T23:44:31.438Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:44:31.438Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:44:31.438Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:44:31.438Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:44:31.438Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:44:31.438Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22405.394 ms) ======
[2025-06-18T23:44:31.438Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-18T23:44:32.378Z] GC before operation: completed in 375.402 ms, heap usage 687.135 MB -> 91.569 MB.
[2025-06-18T23:44:36.485Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-18T23:44:39.471Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-18T23:44:42.460Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-18T23:44:46.604Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-18T23:44:48.535Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-18T23:44:50.465Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-18T23:44:52.394Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-18T23:44:54.325Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-18T23:44:55.432Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-18T23:44:55.432Z] The best model improves the baseline by 14.43%.
[2025-06-18T23:44:55.432Z] Top recommended movies for user id 72:
[2025-06-18T23:44:55.432Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-18T23:44:55.432Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-18T23:44:55.432Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-18T23:44:55.432Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-18T23:44:55.432Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-18T23:44:55.432Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23112.892 ms) ======
[2025-06-18T23:44:57.361Z] -----------------------------------
[2025-06-18T23:44:57.361Z] renaissance-movie-lens_0_PASSED
[2025-06-18T23:44:57.361Z] -----------------------------------
[2025-06-18T23:44:57.361Z]
[2025-06-18T23:44:57.361Z] TEST TEARDOWN:
[2025-06-18T23:44:57.361Z] Nothing to be done for teardown.
[2025-06-18T23:44:57.361Z] renaissance-movie-lens_0 Finish Time: Wed Jun 18 23:44:56 2025 Epoch Time (ms): 1750290296890