DEVELOPMENT... OpenML
Run
163342

Run 163342

Task 3539 (Supervised Classification) prnn_crabs 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
0.9069
Per class
F measure
0.8099
Per class
Kappa
0.62
KB relative information score
126.4956
Mean absolute error
0.1852
Mean prior absolute error
0.5
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8105
Per class
Predictive accuracy
0.81
Prior entropy
1
Recall
0.81
Per class
Relative absolute error
0.3704
Root mean prior squared error
0.5
Root mean squared error
0.3764
Root relative squared error
0.7528
SciMark benchmark
911.3823
UserCPU time millis
30
UserCPU time millis training
30