DEVELOPMENT... OpenML
Run
163401

Run 163401

Task 3598 (Supervised Classification) fri_c0_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)_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
0.8752
Per class
F measure
0.7922
Per class
Kappa
0.5831
KB relative information score
137.1719
Mean absolute error
0.2267
Mean prior absolute error
0.498
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
0.7927
Per class
Predictive accuracy
0.792
Prior entropy
0.9971
Recall
0.792
Per class
Relative absolute error
0.4552
Root mean prior squared error
0.499
Root mean squared error
0.4258
Root relative squared error
0.8533
SciMark benchmark
942.1229
UserCPU time millis
180
UserCPU time millis training
180