DEVELOPMENT... OpenML
Run
22158

Run 22158

Task 14 (Supervised Classification) mfeat-fourier Uploaded 21-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_IBk(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0
weka.MultiBoostAB_IBk(1)_C3
weka.MultiBoostAB_IBk(1)_I160
weka.MultiBoostAB_IBk(1)_P100
weka.MultiBoostAB_IBk(1)_S1
weka.MultiBoostAB_IBk(1)_Wweka.classifiers.lazy.IBk

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.

17 Evaluation measures

Area under ROC curve
0.8897
Per class
F measure
0.8027
Per class
Kappa
0.7794
KB relative information score
1581.4626
Mean absolute error
0.0405
Mean prior absolute error
0.18
Number of instances
2000
Per class
Precision
0.8058
Per class
Predictive accuracy
0.8015
Prior entropy
3.3219
Recall
0.8015
Per class
Relative absolute error
0.2249
Root mean prior squared error
0.3
Root mean squared error
0.1987
Root relative squared error
0.6624