DEVELOPMENT... OpenML
Run
163658

Run 163658

Task 3852 (Supervised Classification) anneal 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
0.9825
Per class
F measure
0.9552
Per class
Kappa
0.8757
KB relative information score
768.9236
Mean absolute error
0.0461
Mean prior absolute error
0.3633
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9551
Per class
Predictive accuracy
0.9555
Prior entropy
0.7932
Recall
0.9555
Per class
Relative absolute error
0.1268
Root mean prior squared error
0.426
Root mean squared error
0.1986
Root relative squared error
0.4662
SciMark benchmark
942.1229
UserCPU time millis
120
UserCPU time millis testing
10
UserCPU time millis training
110