renaissance-movie-lens_0
[2025-06-26T17:29:49.685Z] Running test renaissance-movie-lens_0 ...
[2025-06-26T17:29:49.685Z] ===============================================
[2025-06-26T17:29:49.685Z] renaissance-movie-lens_0 Start Time: Thu Jun 26 17:29:49 2025 Epoch Time (ms): 1750958989278
[2025-06-26T17:29:49.685Z] variation: NoOptions
[2025-06-26T17:29:49.685Z] JVM_OPTIONS:
[2025-06-26T17:29:49.685Z] { \
[2025-06-26T17:29:49.685Z] echo ""; echo "TEST SETUP:"; \
[2025-06-26T17:29:49.685Z] echo "Nothing to be done for setup."; \
[2025-06-26T17:29:49.685Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17509571693447/renaissance-movie-lens_0"; \
[2025-06-26T17:29:49.685Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17509571693447/renaissance-movie-lens_0"; \
[2025-06-26T17:29:49.685Z] echo ""; echo "TESTING:"; \
[2025-06-26T17:29:49.685Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17509571693447/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-26T17:29:49.685Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17509571693447/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-26T17:29:49.685Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-26T17:29:49.685Z] echo "Nothing to be done for teardown."; \
[2025-06-26T17:29:49.686Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17509571693447/TestTargetResult";
[2025-06-26T17:29:49.686Z]
[2025-06-26T17:29:49.686Z] TEST SETUP:
[2025-06-26T17:29:49.686Z] Nothing to be done for setup.
[2025-06-26T17:29:49.686Z]
[2025-06-26T17:29:49.686Z] TESTING:
[2025-06-26T17:30:01.611Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads.
[2025-06-26T17:30:22.666Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-26T17:30:22.666Z] Training: 60056, validation: 20285, test: 19854
[2025-06-26T17:30:22.666Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-26T17:30:22.666Z] GC before operation: completed in 211.995 ms, heap usage 440.344 MB -> 76.698 MB.
[2025-06-26T17:30:32.174Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:30:38.701Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:30:43.926Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:30:49.155Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:30:52.086Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:30:55.017Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:30:57.948Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:31:00.521Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:31:01.445Z] 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.
[2025-06-26T17:31:01.445Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:31:01.445Z] Top recommended movies for user id 72:
[2025-06-26T17:31:01.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:31:01.445Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:31:01.445Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:31:01.445Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:31:01.445Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:31:01.445Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (39217.592 ms) ======
[2025-06-26T17:31:01.445Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-26T17:31:01.445Z] GC before operation: completed in 245.252 ms, heap usage 252.263 MB -> 89.452 MB.
[2025-06-26T17:31:06.674Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:31:10.715Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:31:14.748Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:31:18.786Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:31:21.719Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:31:24.659Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:31:27.590Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:31:29.486Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:31:30.408Z] 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.
[2025-06-26T17:31:30.408Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:31:30.408Z] Top recommended movies for user id 72:
[2025-06-26T17:31:30.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:31:30.408Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:31:30.408Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:31:30.408Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:31:30.408Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:31:30.408Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (28720.564 ms) ======
[2025-06-26T17:31:30.408Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-26T17:31:30.408Z] GC before operation: completed in 199.779 ms, heap usage 221.565 MB -> 90.764 MB.
[2025-06-26T17:31:35.660Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:31:39.696Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:31:43.730Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:31:47.763Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:31:50.693Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:31:52.589Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:31:55.828Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:31:57.727Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:31:57.727Z] 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.
[2025-06-26T17:31:57.727Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:31:58.650Z] Top recommended movies for user id 72:
[2025-06-26T17:31:58.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:31:58.650Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:31:58.650Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:31:58.650Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:31:58.650Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:31:58.650Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27394.302 ms) ======
[2025-06-26T17:31:58.650Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-26T17:31:58.650Z] GC before operation: completed in 212.206 ms, heap usage 375.380 MB -> 91.795 MB.
[2025-06-26T17:32:02.695Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:32:06.738Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:32:09.675Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:32:13.775Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:32:15.677Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:32:17.574Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:32:20.563Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:32:22.459Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:32:22.459Z] 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.
[2025-06-26T17:32:22.459Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:32:23.381Z] Top recommended movies for user id 72:
[2025-06-26T17:32:23.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:32:23.381Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:32:23.381Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:32:23.381Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:32:23.381Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:32:23.381Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24688.579 ms) ======
[2025-06-26T17:32:23.381Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-26T17:32:23.381Z] GC before operation: completed in 235.310 ms, heap usage 1.232 GB -> 96.553 MB.
[2025-06-26T17:32:27.444Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:32:30.375Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:32:34.413Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:32:37.378Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:32:40.311Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:32:42.208Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:32:44.105Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:32:47.036Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:32:47.036Z] 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.
[2025-06-26T17:32:47.036Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:32:47.036Z] Top recommended movies for user id 72:
[2025-06-26T17:32:47.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:32:47.036Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:32:47.036Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:32:47.036Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:32:47.036Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:32:47.036Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (24124.819 ms) ======
[2025-06-26T17:32:47.036Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-26T17:32:47.963Z] GC before operation: completed in 222.210 ms, heap usage 1.188 GB -> 96.300 MB.
[2025-06-26T17:32:51.569Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:32:55.607Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:32:59.645Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:33:03.678Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:33:05.573Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:33:08.532Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:33:10.428Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:33:13.366Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:33:13.366Z] 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.
[2025-06-26T17:33:13.366Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:33:13.366Z] Top recommended movies for user id 72:
[2025-06-26T17:33:13.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:33:13.366Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:33:13.366Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:33:13.366Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:33:13.366Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:33:13.366Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (25973.910 ms) ======
[2025-06-26T17:33:13.366Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-26T17:33:14.289Z] GC before operation: completed in 208.204 ms, heap usage 313.763 MB -> 92.140 MB.
[2025-06-26T17:33:18.326Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:33:21.364Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:33:25.437Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:33:29.478Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:33:31.375Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:33:33.276Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:33:36.206Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:33:38.101Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:33:38.101Z] 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.
[2025-06-26T17:33:38.101Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:33:39.023Z] Top recommended movies for user id 72:
[2025-06-26T17:33:39.023Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:33:39.023Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:33:39.023Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:33:39.023Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:33:39.023Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:33:39.023Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24889.822 ms) ======
[2025-06-26T17:33:39.023Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-26T17:33:39.023Z] GC before operation: completed in 197.129 ms, heap usage 179.400 MB -> 91.964 MB.
[2025-06-26T17:33:43.752Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:33:45.651Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:33:49.786Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:33:52.713Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:33:54.609Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:33:56.503Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:33:58.398Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:34:00.297Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:34:01.220Z] 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.
[2025-06-26T17:34:01.220Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:34:01.220Z] Top recommended movies for user id 72:
[2025-06-26T17:34:01.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:34:01.220Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:34:01.220Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:34:01.220Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:34:01.220Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:34:01.220Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (22308.543 ms) ======
[2025-06-26T17:34:01.220Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-26T17:34:01.220Z] GC before operation: completed in 198.755 ms, heap usage 1.107 GB -> 96.670 MB.
[2025-06-26T17:34:05.254Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:34:08.186Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:34:12.223Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:34:15.154Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:34:17.051Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:34:18.948Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:34:20.942Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:34:22.839Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:34:23.768Z] 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.
[2025-06-26T17:34:23.768Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:34:23.768Z] Top recommended movies for user id 72:
[2025-06-26T17:34:23.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:34:23.768Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:34:23.768Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:34:23.768Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:34:23.768Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:34:23.768Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22195.214 ms) ======
[2025-06-26T17:34:23.768Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-26T17:34:23.768Z] GC before operation: completed in 243.459 ms, heap usage 994.647 MB -> 96.185 MB.
[2025-06-26T17:34:27.802Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:34:31.839Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:34:34.941Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:34:38.548Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:34:40.447Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:34:42.344Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:34:44.239Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:34:47.167Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:34:47.167Z] 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.
[2025-06-26T17:34:47.167Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:34:47.167Z] Top recommended movies for user id 72:
[2025-06-26T17:34:47.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:34:47.167Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:34:47.167Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:34:47.167Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:34:47.167Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:34:47.167Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23362.130 ms) ======
[2025-06-26T17:34:47.167Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-26T17:34:47.167Z] GC before operation: completed in 212.460 ms, heap usage 1.274 GB -> 97.238 MB.
[2025-06-26T17:34:51.206Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:34:54.172Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:34:58.203Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:35:01.135Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:35:03.033Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:35:04.934Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:35:06.890Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:35:08.801Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:35:08.801Z] 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.
[2025-06-26T17:35:08.801Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:35:09.726Z] Top recommended movies for user id 72:
[2025-06-26T17:35:09.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:35:09.726Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:35:09.726Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:35:09.726Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:35:09.726Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:35:09.726Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21880.344 ms) ======
[2025-06-26T17:35:09.726Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-26T17:35:09.726Z] GC before operation: completed in 187.108 ms, heap usage 366.626 MB -> 92.154 MB.
[2025-06-26T17:35:12.747Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:35:16.780Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:35:19.710Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:35:22.640Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:35:24.536Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:35:26.434Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:35:28.332Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:35:30.228Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:35:31.152Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-06-26T17:35:31.152Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:35:31.152Z] Top recommended movies for user id 72:
[2025-06-26T17:35:31.152Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:35:31.152Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:35:31.152Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:35:31.152Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:35:31.152Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:35:31.152Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21755.597 ms) ======
[2025-06-26T17:35:31.152Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-26T17:35:31.152Z] GC before operation: completed in 175.920 ms, heap usage 265.322 MB -> 92.402 MB.
[2025-06-26T17:35:35.611Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:35:38.602Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:35:41.534Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:35:44.467Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:35:46.369Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:35:49.303Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:35:51.201Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:35:53.099Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:35:53.100Z] 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.
[2025-06-26T17:35:53.100Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:35:54.029Z] Top recommended movies for user id 72:
[2025-06-26T17:35:54.029Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:35:54.029Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:35:54.029Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:35:54.029Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:35:54.029Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:35:54.029Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (22182.944 ms) ======
[2025-06-26T17:35:54.029Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-26T17:35:54.029Z] GC before operation: completed in 190.447 ms, heap usage 1.102 GB -> 96.921 MB.
[2025-06-26T17:35:56.960Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:36:01.012Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:36:03.951Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:36:06.887Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:36:08.785Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:36:10.682Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:36:12.593Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:36:14.489Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:36:15.413Z] 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.
[2025-06-26T17:36:15.413Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:36:15.413Z] Top recommended movies for user id 72:
[2025-06-26T17:36:15.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:36:15.413Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:36:15.413Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:36:15.413Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:36:15.413Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:36:15.413Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (21578.978 ms) ======
[2025-06-26T17:36:15.413Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-26T17:36:15.413Z] GC before operation: completed in 263.789 ms, heap usage 231.007 MB -> 92.241 MB.
[2025-06-26T17:36:19.521Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:36:23.155Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:36:25.053Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:36:29.757Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:36:30.709Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:36:32.619Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:36:34.518Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:36:36.416Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:36:37.340Z] 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.
[2025-06-26T17:36:37.341Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:36:37.341Z] Top recommended movies for user id 72:
[2025-06-26T17:36:37.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:36:37.341Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:36:37.341Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:36:37.341Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:36:37.341Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:36:37.341Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21523.995 ms) ======
[2025-06-26T17:36:37.341Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-26T17:36:37.341Z] GC before operation: completed in 208.663 ms, heap usage 469.491 MB -> 92.702 MB.
[2025-06-26T17:36:41.394Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:36:44.330Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:36:48.380Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:36:51.321Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:36:53.229Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:36:55.125Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:36:57.026Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:36:58.929Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:36:59.864Z] 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.
[2025-06-26T17:36:59.864Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:36:59.864Z] Top recommended movies for user id 72:
[2025-06-26T17:36:59.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:36:59.864Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:36:59.864Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:36:59.864Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:36:59.864Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:36:59.864Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22525.463 ms) ======
[2025-06-26T17:36:59.864Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-26T17:36:59.864Z] GC before operation: completed in 223.874 ms, heap usage 1.625 GB -> 99.592 MB.
[2025-06-26T17:37:03.910Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:37:06.845Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:37:10.890Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:37:13.846Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:37:15.745Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:37:17.646Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:37:19.553Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:37:21.458Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:37:21.458Z] 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.
[2025-06-26T17:37:21.458Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:37:22.389Z] Top recommended movies for user id 72:
[2025-06-26T17:37:22.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:37:22.389Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:37:22.389Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:37:22.389Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:37:22.389Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:37:22.389Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21751.503 ms) ======
[2025-06-26T17:37:22.389Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-26T17:37:22.389Z] GC before operation: completed in 207.512 ms, heap usage 1.132 GB -> 96.865 MB.
[2025-06-26T17:37:25.780Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:37:29.870Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:37:32.804Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:37:41.026Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:37:41.026Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:37:41.026Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:37:42.923Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:37:45.856Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:37:45.857Z] 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.
[2025-06-26T17:37:45.857Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:37:46.783Z] Top recommended movies for user id 72:
[2025-06-26T17:37:46.783Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:37:46.783Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:37:46.783Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:37:46.783Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:37:46.783Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:37:46.783Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24312.784 ms) ======
[2025-06-26T17:37:46.783Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-26T17:37:46.783Z] GC before operation: completed in 185.961 ms, heap usage 336.439 MB -> 92.194 MB.
[2025-06-26T17:37:50.825Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:37:53.758Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:37:56.695Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:37:59.701Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:38:01.601Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:38:04.532Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:38:06.436Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:38:08.345Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:38:08.345Z] 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.
[2025-06-26T17:38:08.345Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:38:08.345Z] Top recommended movies for user id 72:
[2025-06-26T17:38:08.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:38:08.345Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:38:08.345Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:38:08.345Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:38:08.345Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:38:08.345Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (22135.549 ms) ======
[2025-06-26T17:38:08.345Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-26T17:38:09.271Z] GC before operation: completed in 216.935 ms, heap usage 1.082 GB -> 96.426 MB.
[2025-06-26T17:38:12.204Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-26T17:38:16.252Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-26T17:38:19.209Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-26T17:38:22.472Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-26T17:38:24.369Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-26T17:38:26.268Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-26T17:38:28.168Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-26T17:38:30.077Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-26T17:38:31.002Z] 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.
[2025-06-26T17:38:31.002Z] The best model improves the baseline by 14.43%.
[2025-06-26T17:38:31.002Z] Top recommended movies for user id 72:
[2025-06-26T17:38:31.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-06-26T17:38:31.002Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-06-26T17:38:31.002Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-06-26T17:38:31.002Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-06-26T17:38:31.002Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-06-26T17:38:31.002Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (22076.243 ms) ======
[2025-06-26T17:38:33.937Z] -----------------------------------
[2025-06-26T17:38:33.937Z] renaissance-movie-lens_0_PASSED
[2025-06-26T17:38:33.937Z] -----------------------------------
[2025-06-26T17:38:33.937Z]
[2025-06-26T17:38:33.937Z] TEST TEARDOWN:
[2025-06-26T17:38:33.937Z] Nothing to be done for teardown.
[2025-06-26T17:38:33.937Z] renaissance-movie-lens_0 Finish Time: Thu Jun 26 17:38:32 2025 Epoch Time (ms): 1750959512901