R Under development (unstable) (2025-06-15 r88316 ucrt) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > library(testthat) > library(MBMethPred) > > test_check("MBMethPred") y_pred y_true Group3 SHH Group4 Group3 1 0 0 SHH 1 1 0 Group4 0 0 1 y_pred y_true Group3 SHH WNT Group4 Group3 8 0 0 0 SHH 0 24 2 0 WNT 0 0 24 0 Group4 1 0 0 31 y_pred y_true Group3 SHH WNT Group4 Group3 20 0 0 1 SHH 0 20 0 0 WNT 0 0 18 0 Group4 1 0 0 32 y_pred y_true Group3 SHH WNT Group4 Group3 18 0 0 1 SHH 0 41 0 0 WNT 0 0 37 0 Group4 6 2 0 52 y_pred y_true Group3 SHH WNT Group4 Group3 26 0 1 0 SHH 0 41 0 0 WNT 0 0 38 0 Group4 1 1 0 53 y_pred y_true Group3 SHH WNT Group4 Group3 27 0 0 0 SHH 0 43 0 0 WNT 0 0 37 0 Group4 4 2 0 54 y_pred y_true Group3 SHH WNT Group4 Group3 23 0 0 3 SHH 0 42 0 0 WNT 0 0 35 0 Group4 6 1 0 55 y_pred y_true Group3 SHH WNT Group4 Group3 26 0 0 1 SHH 0 38 1 0 WNT 0 0 39 0 Group4 5 0 0 52 y_pred y_true Group3 SHH WNT Group4 Group3 26 0 0 2 SHH 0 41 0 0 WNT 0 0 39 0 Group4 0 0 0 57 y_pred y_true Group3 SHH WNT Group4 Group3 27 0 0 2 SHH 0 41 0 0 WNT 0 0 39 0 Group4 3 1 1 53 y_pred y_true Group3 SHH WNT Group4 Group3 21 0 0 3 SHH 0 42 0 0 WNT 0 0 37 0 Group4 6 0 0 54 y_pred y_true Group3 SHH WNT Group4 Group3 20 0 1 5 SHH 0 42 0 0 WNT 0 0 37 0 Group4 6 1 0 46 y_pred y_true Group3 SHH WNT Group4 Group3 27 0 0 1 SHH 0 41 1 0 WNT 0 0 40 0 Group4 6 0 0 57 [1] train-mlogloss:0.398066 Will train until train_mlogloss hasn't improved in 10 rounds. [2] train-mlogloss:0.183334 [3] train-mlogloss:0.090246 [4] train-mlogloss:0.046543 [5] train-mlogloss:0.024549 [6] train-mlogloss:0.013654 [7] train-mlogloss:0.007974 [8] train-mlogloss:0.004923 [9] train-mlogloss:0.004462 [10] train-mlogloss:0.004453 y_pred y_true 0 1 2 3 0 15 1 0 0 1 1 34 0 0 2 0 0 28 0 3 0 0 0 27 [1] train-mlogloss:0.400676 Will train until train_mlogloss hasn't improved in 10 rounds. [2] train-mlogloss:0.181486 [3] train-mlogloss:0.087558 [4] train-mlogloss:0.045375 [5] train-mlogloss:0.024367 [6] train-mlogloss:0.013793 [7] train-mlogloss:0.008067 [8] train-mlogloss:0.005149 [9] train-mlogloss:0.004397 [10] train-mlogloss:0.004388 y_pred y_true 0 1 2 3 0 13 0 0 0 1 0 30 0 0 2 0 0 18 0 3 1 0 0 14 y_pred y_true Group3 SHH WNT Group4 Group3 17 0 0 0 SHH 0 25 0 0 WNT 0 0 21 0 Group4 1 0 0 29 y_pred y_true Group3 SHH WNT Group4 Group3 10 0 0 2 SHH 1 20 0 0 WNT 0 0 21 0 Group4 2 0 0 33 [1] train-mlogloss:0.398429 Will train until train_mlogloss hasn't improved in 10 rounds. [2] train-mlogloss:0.181689 [3] train-mlogloss:0.089945 [4] train-mlogloss:0.045552 [5] train-mlogloss:0.023962 [6] train-mlogloss:0.013452 [7] train-mlogloss:0.008062 [8] train-mlogloss:0.005226 [9] train-mlogloss:0.004367 [10] train-mlogloss:0.004354 y_pred y_true 0 1 2 3 0 15 0 0 0 1 0 32 0 0 2 0 0 22 1 3 1 0 0 18 [1] train-mlogloss:0.387440 Will train until train_mlogloss hasn't improved in 10 rounds. [2] train-mlogloss:0.176736 [3] train-mlogloss:0.086572 [4] train-mlogloss:0.045195 [5] train-mlogloss:0.024009 [6] train-mlogloss:0.013293 [7] train-mlogloss:0.008021 [8] train-mlogloss:0.004990 [9] train-mlogloss:0.004525 [10] train-mlogloss:0.004516 y_pred y_true 0 1 2 3 0 12 2 0 0 1 0 33 0 0 2 0 0 23 0 3 2 0 0 21 y_pred y_true Group3 SHH WNT Group4 Group3 15 0 0 3 SHH 0 22 0 1 WNT 1 0 25 0 Group4 0 0 0 25 y_pred y_true Group3 SHH WNT Group4 Group3 11 0 0 0 SHH 0 23 0 0 WNT 0 0 16 0 Group4 1 0 0 39 The NMI score is: 0.903790812437385 y_pred y_true Group3 SHH WNT Group4 Group3 12 0 0 2 SHH 0 27 0 0 WNT 0 0 20 0 Group4 0 0 0 29 y_pred y_true Group3 SHH WNT Group4 Group3 15 0 0 0 SHH 0 19 0 0 WNT 0 0 22 0 Group4 0 0 0 36 [1] train-mlogloss:0.397380 Will train until train_mlogloss hasn't improved in 10 rounds. [2] train-mlogloss:0.181984 [3] train-mlogloss:0.089261 [4] train-mlogloss:0.045630 [5] train-mlogloss:0.024348 [6] train-mlogloss:0.013623 [7] train-mlogloss:0.008120 [8] train-mlogloss:0.005161 [9] train-mlogloss:0.004360 [10] train-mlogloss:0.004347 y_pred y_true 0 1 2 3 0 15 1 0 0 1 2 37 0 0 2 1 0 20 0 3 0 0 0 18 [1] train-mlogloss:0.394044 Will train until train_mlogloss hasn't improved in 10 rounds. [2] train-mlogloss:0.180552 [3] train-mlogloss:0.088201 [4] train-mlogloss:0.045066 [5] train-mlogloss:0.023391 [6] train-mlogloss:0.012804 [7] train-mlogloss:0.007407 [8] train-mlogloss:0.004549 [9] train-mlogloss:0.004516 [10] train-mlogloss:0.004508 y_pred y_true 0 1 2 3 0 12 1 0 0 1 1 25 0 0 2 0 0 25 0 3 0 0 0 24 [ FAIL 0 | WARN 0 | SKIP 0 | PASS 12 ] > > proc.time() user system elapsed 20.28 1.62 20.53