DEVELOPMENT... OpenML
Run
19590

Run 19590

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 16-06-2014 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)_I40
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
0.9883
Per class
F measure
0.938
Per class
Kappa
0.9311
KB relative information score
1759.8632
Mean absolute error
0.0351
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9387
Per class
Predictive accuracy
0.938
Prior entropy
3.3219
Recall
0.938
Per class
Relative absolute error
0.1949
Root mean prior squared error
0.3
Root mean squared error
0.1186
Root relative squared error
0.3952
SciMark benchmark
946.5173[561.39063748653551012.0561783624415480.4213690634573912.43998791392861766.2785639901995]