DEVELOPMENT... OpenML
Run
165149

Run 165149

Task 3635 (Supervised Classification) fri_c1_250_50 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
0.9257
Per class
F measure
0.8476
Per class
Kappa
0.6917
KB relative information score
172.6067
Mean absolute error
0.1532
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
0.8481
Per class
Predictive accuracy
0.848
Prior entropy
0.9934
Recall
0.848
Per class
Relative absolute error
0.3093
Root mean prior squared error
0.4977
Root mean squared error
0.3603
Root relative squared error
0.724
SciMark benchmark
936.6206
UserCPU time millis
770
UserCPU time millis training
770