DEVELOPMENT... OpenML
Run
41120

Run 41120

Task 4579 (Supervised Classification) ecoli Uploaded 29-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I80
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.9604
Per class
Build CPU time
0.6991
Build memory
1148501574.5333
F measure
0.9575
Per class
Kappa
0.913
KB relative information score
3064.2645
Mean absolute error
0.0425
Mean prior absolute error
0.489
Number of instances
3360
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9575
Per class
Predictive accuracy
0.9574
Prior entropy
0.9842
Recall
0.9574
Per class
Relative absolute error
0.087
Root mean prior squared error
0.4944
Root mean squared error
0.2054
Root relative squared error
0.4154
SciMark benchmark
944.5683