DEVELOPMENT... OpenML
Run
165097

Run 165097

Task 3590 (Supervised Classification) analcatdata_vineyard 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
0.8691
Per class
F measure
0.7988
Per class
Kappa
0.5921
KB relative information score
232.8181
Mean absolute error
0.2546
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7988
Per class
Predictive accuracy
0.7991
Prior entropy
0.9912
Recall
0.7991
Per class
Relative absolute error
0.5154
Root mean prior squared error
0.4969
Root mean squared error
0.3932
Root relative squared error
0.7913
SciMark benchmark
894.7455
UserCPU time millis
80
UserCPU time millis testing
10
UserCPU time millis training
70