DEVELOPMENT... OpenML
Run
163432

Run 163432

Task 3629 (Supervised Classification) fri_c0_250_10 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)_I40
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
0.9015
Per class
F measure
0.8078
Per class
Kappa
0.616
KB relative information score
156.4014
Mean absolute error
0.1881
Mean prior absolute error
0.5
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
0.8093
Per class
Predictive accuracy
0.808
Prior entropy
1
Recall
0.808
Per class
Relative absolute error
0.3762
Root mean prior squared error
0.5
Root mean squared error
0.3811
Root relative squared error
0.7623
SciMark benchmark
942.1229
UserCPU time millis
50
UserCPU time millis training
50