DEVELOPMENT... OpenML
Run
162105

Run 162105

Task 3741 (Supervised Classification) fri_c2_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
0.8392
Per class
F measure
0.7748
Per class
Kappa
0.5443
KB relative information score
130.2082
Mean absolute error
0.2389
Mean prior absolute error
0.4954
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
0.776
Per class
Predictive accuracy
0.776
Prior entropy
0.9934
Recall
0.776
Per class
Relative absolute error
0.4821
Root mean prior squared error
0.4977
Root mean squared error
0.4469
Root relative squared error
0.8979
SciMark benchmark
938.4285
UserCPU time millis
60
UserCPU time millis training
60