DEVELOPMENT... OpenML
Run
161900

Run 161900

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)_I10
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
0.8107
Per class
F measure
0.7799
Per class
Kappa
0.56
KB relative information score
97.4781
Mean absolute error
0.2649
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
0.7804
Per class
Predictive accuracy
0.78
Prior entropy
1
Recall
0.78
Per class
Relative absolute error
0.5298
Root mean prior squared error
0.5
Root mean squared error
0.4305
Root relative squared error
0.861
SciMark benchmark
938.9865
UserCPU time millis
10
UserCPU time millis training
10