DEVELOPMENT... OpenML
Run
22802

Run 22802

Task 36 (Supervised Classification) segment Uploaded 22-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I160
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.9742
Per class
F measure
0.9559
Per class
Kappa
0.9485
KB relative information score
2199.9198
Mean absolute error
0.0126
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9561
Per class
Predictive accuracy
0.9558
Prior entropy
2.8074
Recall
0.9558
Per class
Relative absolute error
0.0515
Root mean prior squared error
0.3499
Root mean squared error
0.1123
Root relative squared error
0.321
SciMark benchmark
937.268[549.7133900178856999.4579437467504483.2321174670136912.43998791392861741.496644184919]