DEVELOPMENT... OpenML
Run
162879

Run 162879

Task 3798 (Supervised Classification) fri_c1_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)_I20
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
0.8852
Per class
F measure
0.8162
Per class
Kappa
0.6273
KB relative information score
147.9629
Mean absolute error
0.2031
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
0.8164
Per class
Predictive accuracy
0.816
Prior entropy
0.9898
Recall
0.816
Per class
Relative absolute error
0.4121
Root mean prior squared error
0.4964
Root mean squared error
0.408
Root relative squared error
0.8219
SciMark benchmark
934.5243
UserCPU time millis
30
UserCPU time millis training
30