DEVELOPMENT... OpenML
Run
35721

Run 35721

Task 4436 (Supervised Classification) visualizing_livestock Uploaded 28-10-2014 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)_I10
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
0.8373
Per class
Build CPU time
0.0072
Build memory
683206542.24
F measure
0.8752
Per class
Kappa
0.6145
KB relative information score
653.2299
Mean absolute error
0.1305
Mean prior absolute error
0.3135
Number of instances
1300
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.883
Per class
Predictive accuracy
0.8708
Prior entropy
0.7158
Recall
0.8708
Per class
Relative absolute error
0.4164
Root mean prior squared error
0.3941
Root mean squared error
0.3565
Root relative squared error
0.9046
SciMark benchmark
941.8931