DEVELOPMENT... OpenML
Run
19776

Run 19776

Task 22 (Supervised Classification) mfeat-zernike Uploaded 16-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I10
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_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
0.9037
Per class
F measure
0.7656
Per class
Kappa
0.7428
KB relative information score
1525.8689
Mean absolute error
0.0463
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
0.7636
Per class
Predictive accuracy
0.7685
Prior entropy
3.3219
Recall
0.7685
Per class
Relative absolute error
0.257
Root mean prior squared error
0.3
Root mean squared error
0.2113
Root relative squared error
0.7043
SciMark benchmark
946.4298[561.57136831653141015.5230404536866483.23216931738307911.80521739130441760.0170946291457]

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