renaissance-movie-lens_0
[2025-03-27T07:11:47.799Z] Running test renaissance-movie-lens_0 ...
[2025-03-27T07:11:47.799Z] ===============================================
[2025-03-27T07:11:47.799Z] renaissance-movie-lens_0 Start Time: Thu Mar 27 02:11:47 2025 Epoch Time (ms): 1743059507441
[2025-03-27T07:11:47.799Z] variation: NoOptions
[2025-03-27T07:11:47.799Z] JVM_OPTIONS:
[2025-03-27T07:11:47.799Z] { \
[2025-03-27T07:11:47.799Z] echo ""; echo "TEST SETUP:"; \
[2025-03-27T07:11:47.799Z] echo "Nothing to be done for setup."; \
[2025-03-27T07:11:47.799Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17430584485583/renaissance-movie-lens_0"; \
[2025-03-27T07:11:47.799Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17430584485583/renaissance-movie-lens_0"; \
[2025-03-27T07:11:47.799Z] echo ""; echo "TESTING:"; \
[2025-03-27T07:11:47.799Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17430584485583/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-03-27T07:11:47.799Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17430584485583/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-03-27T07:11:47.799Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-03-27T07:11:47.799Z] echo "Nothing to be done for teardown."; \
[2025-03-27T07:11:47.799Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17430584485583/TestTargetResult";
[2025-03-27T07:11:47.799Z]
[2025-03-27T07:11:47.799Z] TEST SETUP:
[2025-03-27T07:11:47.799Z] Nothing to be done for setup.
[2025-03-27T07:11:47.799Z]
[2025-03-27T07:11:47.799Z] TESTING:
[2025-03-27T07:11:52.895Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-03-27T07:12:00.571Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-03-27T07:12:02.028Z] Training: 60056, validation: 20285, test: 19854
[2025-03-27T07:12:02.028Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-03-27T07:12:02.028Z] GC before operation: completed in 107.408 ms, heap usage 265.270 MB -> 76.325 MB.
[2025-03-27T07:12:08.349Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:12:11.441Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:12:15.493Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:12:17.755Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:12:19.998Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:12:22.215Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:12:23.649Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:12:26.093Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:12:26.093Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-27T07:12:26.093Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:12:26.778Z] Top recommended movies for user id 72:
[2025-03-27T07:12:26.778Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:12:26.778Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:12:26.778Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:12:26.778Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:12:26.778Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:12:26.778Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24719.499 ms) ======
[2025-03-27T07:12:26.778Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-03-27T07:12:26.778Z] GC before operation: completed in 90.352 ms, heap usage 341.352 MB -> 97.001 MB.
[2025-03-27T07:12:29.889Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:12:33.028Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:12:36.138Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:12:39.255Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:12:40.692Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:12:42.126Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:12:44.377Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:12:45.824Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:12:45.824Z] 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.
[2025-03-27T07:12:45.824Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:12:46.543Z] Top recommended movies for user id 72:
[2025-03-27T07:12:46.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:12:46.543Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:12:46.543Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:12:46.543Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:12:46.543Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:12:46.543Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19719.984 ms) ======
[2025-03-27T07:12:46.543Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-03-27T07:12:46.543Z] GC before operation: completed in 98.642 ms, heap usage 296.363 MB -> 93.524 MB.
[2025-03-27T07:12:49.781Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:12:52.943Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:12:56.045Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:12:58.353Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:12:59.786Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:13:01.233Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:13:02.685Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:13:04.120Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:13:04.829Z] 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.
[2025-03-27T07:13:04.829Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:13:04.829Z] Top recommended movies for user id 72:
[2025-03-27T07:13:04.829Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:13:04.829Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:13:04.829Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:13:04.829Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:13:04.829Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:13:04.829Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18409.710 ms) ======
[2025-03-27T07:13:04.829Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-03-27T07:13:04.829Z] GC before operation: completed in 101.484 ms, heap usage 787.319 MB -> 99.254 MB.
[2025-03-27T07:13:07.950Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:13:11.073Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:13:13.291Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:13:15.508Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:13:16.952Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:13:18.646Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:13:20.075Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:13:21.521Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:13:22.207Z] 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.
[2025-03-27T07:13:22.207Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:13:22.207Z] Top recommended movies for user id 72:
[2025-03-27T07:13:22.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:13:22.207Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:13:22.207Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:13:22.207Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:13:22.207Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:13:22.207Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17242.632 ms) ======
[2025-03-27T07:13:22.207Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-03-27T07:13:22.207Z] GC before operation: completed in 99.358 ms, heap usage 316.172 MB -> 96.040 MB.
[2025-03-27T07:13:25.325Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:13:27.549Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:13:29.794Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:13:32.029Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:13:33.472Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:13:34.902Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:13:37.140Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:13:38.599Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:13:38.599Z] 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.
[2025-03-27T07:13:38.599Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:13:38.599Z] Top recommended movies for user id 72:
[2025-03-27T07:13:38.599Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:13:38.599Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:13:38.599Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:13:38.599Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:13:38.599Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:13:38.599Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16606.108 ms) ======
[2025-03-27T07:13:38.599Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-03-27T07:13:39.284Z] GC before operation: completed in 122.576 ms, heap usage 136.911 MB -> 97.014 MB.
[2025-03-27T07:13:41.503Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:13:43.740Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:13:45.979Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:13:48.212Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:13:50.456Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:13:51.879Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:13:53.327Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:13:54.770Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:13:54.771Z] 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.
[2025-03-27T07:13:54.771Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:13:54.771Z] Top recommended movies for user id 72:
[2025-03-27T07:13:54.771Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:13:54.771Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:13:54.771Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:13:54.771Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:13:54.771Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:13:54.771Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16045.434 ms) ======
[2025-03-27T07:13:54.771Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-03-27T07:13:55.466Z] GC before operation: completed in 120.465 ms, heap usage 699.534 MB -> 96.901 MB.
[2025-03-27T07:13:57.715Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:14:00.824Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:14:03.056Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:14:05.283Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:14:06.718Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:14:08.289Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:14:09.719Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:14:11.268Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:14:11.268Z] 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.
[2025-03-27T07:14:11.268Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:14:11.268Z] Top recommended movies for user id 72:
[2025-03-27T07:14:11.268Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:14:11.268Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:14:11.268Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:14:11.268Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:14:11.268Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:14:11.268Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16395.521 ms) ======
[2025-03-27T07:14:11.268Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-03-27T07:14:11.954Z] GC before operation: completed in 118.620 ms, heap usage 214.300 MB -> 92.986 MB.
[2025-03-27T07:14:14.183Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:14:16.405Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:14:19.519Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:14:21.766Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:14:23.218Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:14:24.651Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:14:26.092Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:14:27.550Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:14:27.550Z] 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.
[2025-03-27T07:14:27.550Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:14:27.550Z] Top recommended movies for user id 72:
[2025-03-27T07:14:27.550Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:14:27.550Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:14:27.550Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:14:27.550Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:14:27.550Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:14:27.550Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16054.907 ms) ======
[2025-03-27T07:14:27.550Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-03-27T07:14:27.550Z] GC before operation: completed in 116.006 ms, heap usage 367.153 MB -> 94.092 MB.
[2025-03-27T07:14:30.653Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:14:32.887Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:14:36.008Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:14:38.240Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:14:39.699Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:14:41.140Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:14:43.368Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:14:44.803Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:14:44.803Z] 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.
[2025-03-27T07:14:44.803Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:14:44.803Z] Top recommended movies for user id 72:
[2025-03-27T07:14:44.803Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:14:44.803Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:14:44.803Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:14:44.803Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:14:44.803Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:14:44.803Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17186.097 ms) ======
[2025-03-27T07:14:44.803Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-03-27T07:14:44.803Z] GC before operation: completed in 106.322 ms, heap usage 222.492 MB -> 97.138 MB.
[2025-03-27T07:14:47.901Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:14:50.129Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:14:52.359Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:14:54.600Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:14:56.042Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:14:57.508Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:14:59.397Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:15:00.822Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:15:00.822Z] 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.
[2025-03-27T07:15:00.822Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:15:00.822Z] Top recommended movies for user id 72:
[2025-03-27T07:15:00.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:15:00.822Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:15:00.822Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:15:00.822Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:15:00.822Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:15:00.822Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16037.524 ms) ======
[2025-03-27T07:15:00.822Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-03-27T07:15:01.508Z] GC before operation: completed in 95.276 ms, heap usage 212.865 MB -> 93.358 MB.
[2025-03-27T07:15:04.607Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:15:06.835Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:15:09.060Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:15:11.292Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:15:12.723Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:15:14.166Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:15:15.616Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:15:17.049Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:15:17.747Z] 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.
[2025-03-27T07:15:17.747Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:15:17.747Z] Top recommended movies for user id 72:
[2025-03-27T07:15:17.747Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:15:17.747Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:15:17.747Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:15:17.747Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:15:17.747Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:15:17.747Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16477.039 ms) ======
[2025-03-27T07:15:17.747Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-03-27T07:15:17.747Z] GC before operation: completed in 130.404 ms, heap usage 573.360 MB -> 96.679 MB.
[2025-03-27T07:15:19.983Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:15:23.093Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:15:25.343Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:15:27.602Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:15:29.033Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:15:30.461Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:15:31.895Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:15:33.328Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:15:33.328Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-27T07:15:33.328Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:15:33.328Z] Top recommended movies for user id 72:
[2025-03-27T07:15:33.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:15:33.328Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:15:33.328Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:15:33.328Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:15:33.328Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:15:33.328Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15778.442 ms) ======
[2025-03-27T07:15:33.328Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-03-27T07:15:34.014Z] GC before operation: completed in 100.831 ms, heap usage 786.002 MB -> 98.156 MB.
[2025-03-27T07:15:36.260Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:15:39.384Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:15:40.819Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:15:43.939Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:15:44.644Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:15:46.900Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:15:48.338Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:15:49.933Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:15:49.933Z] 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.
[2025-03-27T07:15:49.933Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:15:49.933Z] Top recommended movies for user id 72:
[2025-03-27T07:15:49.933Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:15:49.933Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:15:49.933Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:15:49.933Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:15:49.933Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:15:49.933Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (16233.317 ms) ======
[2025-03-27T07:15:49.933Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-03-27T07:15:49.933Z] GC before operation: completed in 98.068 ms, heap usage 640.511 MB -> 94.272 MB.
[2025-03-27T07:15:52.678Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:15:54.923Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:15:57.166Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:15:59.404Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:16:00.861Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:16:02.302Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:16:03.744Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:16:05.192Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:16:05.883Z] 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.
[2025-03-27T07:16:05.883Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:16:05.883Z] Top recommended movies for user id 72:
[2025-03-27T07:16:05.883Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:16:05.883Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:16:05.883Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:16:05.883Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:16:05.883Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:16:05.883Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15790.333 ms) ======
[2025-03-27T07:16:05.883Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-03-27T07:16:05.883Z] GC before operation: completed in 144.395 ms, heap usage 915.711 MB -> 99.134 MB.
[2025-03-27T07:16:08.991Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:16:11.221Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:16:13.481Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:16:15.728Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:16:17.155Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:16:18.580Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:16:20.012Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:16:21.429Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:16:21.429Z] 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.
[2025-03-27T07:16:21.429Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:16:22.137Z] Top recommended movies for user id 72:
[2025-03-27T07:16:22.137Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:16:22.137Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:16:22.137Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:16:22.137Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:16:22.137Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:16:22.137Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15848.055 ms) ======
[2025-03-27T07:16:22.137Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-03-27T07:16:22.137Z] GC before operation: completed in 111.129 ms, heap usage 1.034 GB -> 100.116 MB.
[2025-03-27T07:16:24.376Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:16:27.477Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:16:29.710Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:16:31.938Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:16:33.388Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:16:34.811Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:16:36.253Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:16:37.699Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:16:38.385Z] 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.
[2025-03-27T07:16:38.385Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:16:38.385Z] Top recommended movies for user id 72:
[2025-03-27T07:16:38.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:16:38.385Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:16:38.385Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:16:38.385Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:16:38.385Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:16:38.385Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16380.677 ms) ======
[2025-03-27T07:16:38.385Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-03-27T07:16:38.385Z] GC before operation: completed in 85.213 ms, heap usage 690.135 MB -> 95.057 MB.
[2025-03-27T07:16:40.642Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:16:42.884Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:16:45.569Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:16:47.812Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:16:49.231Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:16:50.667Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:16:52.096Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:16:53.532Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:16:53.532Z] 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.
[2025-03-27T07:16:53.532Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:16:54.231Z] Top recommended movies for user id 72:
[2025-03-27T07:16:54.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:16:54.231Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:16:54.231Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:16:54.231Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:16:54.231Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:16:54.231Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15455.547 ms) ======
[2025-03-27T07:16:54.231Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-03-27T07:16:54.231Z] GC before operation: completed in 135.608 ms, heap usage 1.004 GB -> 98.127 MB.
[2025-03-27T07:16:56.478Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:16:58.726Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:17:01.842Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:17:04.058Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:17:05.506Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:17:06.195Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:17:08.430Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:17:09.118Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:17:09.806Z] 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.
[2025-03-27T07:17:09.806Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:17:09.806Z] Top recommended movies for user id 72:
[2025-03-27T07:17:09.806Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:17:09.806Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:17:09.806Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:17:09.806Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:17:09.806Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:17:09.806Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15812.630 ms) ======
[2025-03-27T07:17:09.806Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-03-27T07:17:09.806Z] GC before operation: completed in 116.788 ms, heap usage 337.242 MB -> 93.405 MB.
[2025-03-27T07:17:12.036Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:17:14.269Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:17:16.490Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:17:19.612Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:17:21.066Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:17:21.761Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:17:23.208Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:17:24.676Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:17:25.361Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-03-27T07:17:25.361Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:17:25.361Z] Top recommended movies for user id 72:
[2025-03-27T07:17:25.361Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:17:25.361Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:17:25.361Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:17:25.361Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:17:25.361Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:17:25.361Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15286.854 ms) ======
[2025-03-27T07:17:25.361Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-03-27T07:17:25.361Z] GC before operation: completed in 146.576 ms, heap usage 701.273 MB -> 97.105 MB.
[2025-03-27T07:17:28.467Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T07:17:30.729Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T07:17:34.121Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T07:17:35.555Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T07:17:36.975Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T07:17:38.421Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T07:17:39.879Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T07:17:41.317Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T07:17:42.008Z] 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.
[2025-03-27T07:17:42.008Z] The best model improves the baseline by 14.43%.
[2025-03-27T07:17:42.008Z] Top recommended movies for user id 72:
[2025-03-27T07:17:42.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-03-27T07:17:42.009Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-03-27T07:17:42.009Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-03-27T07:17:42.009Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-03-27T07:17:42.009Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-03-27T07:17:42.009Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (16677.275 ms) ======
[2025-03-27T07:17:43.441Z] -----------------------------------
[2025-03-27T07:17:43.441Z] renaissance-movie-lens_0_PASSED
[2025-03-27T07:17:43.441Z] -----------------------------------
[2025-03-27T07:17:43.441Z]
[2025-03-27T07:17:43.441Z] TEST TEARDOWN:
[2025-03-27T07:17:43.441Z] Nothing to be done for teardown.
[2025-03-27T07:17:43.441Z] renaissance-movie-lens_0 Finish Time: Thu Mar 27 02:17:42 2025 Epoch Time (ms): 1743059862956