DEVELOPMENT... OpenML
Run
164124

Run 164124

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)_I80
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
0.861
Per class
F measure
0.7717
Per class
Kappa
0.5468
KB relative information score
209.4099
Mean absolute error
0.2795
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
0.7864
Per class
Predictive accuracy
0.7714
Prior entropy
0.9912
Recall
0.7714
Per class
Relative absolute error
0.566
Root mean prior squared error
0.4969
Root mean squared error
0.3853
Root relative squared error
0.7754
SciMark benchmark
936.6206
UserCPU time millis
40
UserCPU time millis testing
10
UserCPU time millis training
30

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