DEVELOPMENT... OpenML
Run
162237

Run 162237

Task 3874 (Supervised Classification) ecoli 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
0.97
Per class
F measure
0.911
Per class
Kappa
0.819
KB relative information score
275.5396
Mean absolute error
0.0871
Mean prior absolute error
0.489
Number of instances
336
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.913
Per class
Predictive accuracy
0.9107
Prior entropy
0.9842
Recall
0.9107
Per class
Relative absolute error
0.1782
Root mean prior squared error
0.4944
Root mean squared error
0.2702
Root relative squared error
0.5465
SciMark benchmark
938.4278