DEVELOPMENT... OpenML
Run
53749

Run 53749

Task 1740 (Learning Curve) soybean Uploaded 08-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_J48(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(3)_C0.25
weka.J48(3)_M2
weka.MultiBoostAB_J48(2)_C3
weka.MultiBoostAB_J48(2)_P100
weka.MultiBoostAB_J48(2)_S1
weka.MultiBoostAB_J48(2)_I10
weka.MultiBoostAB_J48(2)_Wweka.classifiers.trees.J48

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
0.9887 ± 0.0105
Per class
Build CPU time
0.0364
Build memory
2877641816.3
F measure
0.9314 ± 0.0221
Per class
Kappa
0.9246 ± 0.023
KB relative information score
0.9388 ± 0.0206
Mean absolute error
0.0073 ± 0.0021
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9324 ± 0.0235
Per class
Predictive accuracy
0.9312 ± 0.021
Prior entropy
3.8358 ± 0.0227
Recall
0.9312 ± 0.021
Per class
Relative absolute error
0.0759 ± 0.0213
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0823 ± 0.0148
Root relative squared error
0.3758 ± 0.0677
SciMark benchmark
1624.8488