DEVELOPMENT... OpenML
Run
16219

Run 16219

Task 23 (Supervised Classification) cmc Uploaded 04-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomForest(1)_I80
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.6614
Per class
F measure
0.499
Per class
Kappa
0.2227
KB relative information score
420.801
Mean absolute error
0.3336
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4975
Per class
Predictive accuracy
0.5017
Prior entropy
1.5392
Recall
0.5017
Per class
Relative absolute error
0.7742
Root mean prior squared error
0.4641
Root mean squared error
0.5491
Root relative squared error
1.183
SciMark benchmark
945.9101[561.57136831653141014.9881711071126483.88543266528814910.22226140528711758.8835103978397]