DEVELOPMENT... OpenML
Run
163577

Run 163577

Task 3774 (Supervised Classification) fri_c2_250_5 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
0.903
Per class
F measure
0.8557
Per class
Kappa
0.7066
KB relative information score
172.8924
Mean absolute error
0.1525
Mean prior absolute error
0.4929
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
0.8558
Per class
Predictive accuracy
0.856
Prior entropy
0.9898
Recall
0.856
Per class
Relative absolute error
0.3094
Root mean prior squared error
0.4964
Root mean squared error
0.3596
Root relative squared error
0.7244
SciMark benchmark
936.6206
UserCPU time millis
20
UserCPU time millis training
20