DEVELOPMENT... OpenML
Run
165121

Run 165121

Task 3612 (Supervised Classification) fri_c1_250_25 Uploaded 17-02-2015 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)_I160
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
0.9357
Per class
F measure
0.8556
Per class
Kappa
0.7045
KB relative information score
175.7773
Mean absolute error
0.1443
Mean prior absolute error
0.4897
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
0.8557
Per class
Predictive accuracy
0.856
Prior entropy
0.9852
Recall
0.856
Per class
Relative absolute error
0.2946
Root mean prior squared error
0.4948
Root mean squared error
0.3486
Root relative squared error
0.7045
SciMark benchmark
894.7455
UserCPU time millis
390
UserCPU time millis training
390