DEVELOPMENT... OpenML
Run
162100

Run 162100

Task 3737 (Supervised Classification) fri_c3_250_50 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
0.808
Per class
F measure
0.7481
Per class
Kappa
0.4844
KB relative information score
109.525
Mean absolute error
0.2815
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7524
Per class
Predictive accuracy
0.752
Prior entropy
0.9868
Recall
0.752
Per class
Relative absolute error
0.5736
Root mean prior squared error
0.4954
Root mean squared error
0.4329
Root relative squared error
0.874
SciMark benchmark
938.4278
UserCPU time millis
40
UserCPU time millis training
40