DEVELOPMENT... OpenML
Run
16050

Run 16050

Task 4 (Supervised Classification) labor Uploaded 04-06-2014 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)_I10
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.

19 Evaluation measures

Area under ROC curve
0.8081
Per class
F measure
0.8443
Per class
Kappa
0.6649
KB relative information score
35.2657
Mean absolute error
0.1704
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8512
Per class
Predictive accuracy
0.8421
Prior entropy
0.9393
Recall
0.8421
Per class
Relative absolute error
0.3729
Root mean prior squared error
0.4773
Root mean squared error
0.3903
Root relative squared error
0.8178
SciMark benchmark
937.5297[563.7493804172171968.3190948569795483.23216931738307914.03067367712611758.3171307218695]