DEVELOPMENT... OpenML
Run
162128

Run 162128

Task 3766 (Supervised Classification) fri_c2_1000_25 Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I10
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8376
Per class
F measure
0.7797
Per class
Kappa
0.5549
KB relative information score
543.4234
Mean absolute error
0.2237
Mean prior absolute error
0.4921
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7823
Per class
Predictive accuracy
0.779
Prior entropy
0.9886
Recall
0.779
Per class
Relative absolute error
0.4545
Root mean prior squared error
0.496
Root mean squared error
0.4535
Root relative squared error
0.9142
SciMark benchmark
938.9865
UserCPU time millis
100
UserCPU time millis training
100