Run
59588

Run 59588

Task 1740 (Learning Curve) soybean Uploaded 15-11-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_IBk(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0
weka.MultiBoostAB_IBk(2)_C3
weka.MultiBoostAB_IBk(2)_P100
weka.MultiBoostAB_IBk(2)_S1
weka.MultiBoostAB_IBk(2)_I10
weka.MultiBoostAB_IBk(2)_Wweka.classifiers.lazy.IBk

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
0.9562 ± 0.0165
Per class
Build CPU time
0.282
Build memory
1320721198.3
F measure
0.9157 ± 0.0252
Per class
Kappa
0.9084 ± 0.0316
KB relative information score
0.9167 ± 0.0288
Mean absolute error
0.0096 ± 0.0036
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9199 ± 0.0258
Per class
Predictive accuracy
0.9165 ± 0.0288
Prior entropy
3.8358 ± 0.0227
Recall
0.9165 ± 0.0288
Per class
Relative absolute error
0.1001 ± 0.0376
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0937 ± 0.0162
Root relative squared error
0.4275 ± 0.0741
SciMark benchmark
947.0414