Run
55399

Run 55399

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

weka.Bagging_LADTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LADTree(2)_I10
weka.Bagging_LADTree(2)_P100
weka.Bagging_LADTree(2)_S1
weka.Bagging_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.Bagging_LADTree(2)_num-slots1
weka.LADTree(2)_B10

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
0.99 ± 0.0053
Per class
Build CPU time
4.0482
Build memory
963602357.4
F measure
0.8523
Per class
Kappa
0.8439 ± 0.0369
KB relative information score
0.8161 ± 0.0098
Mean absolute error
0.033 ± 0.0008
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
0.8723
Per class
Predictive accuracy
0.858 ± 0.0336
Prior entropy
3.8358 ± 0.0227
Recall
0.858 ± 0.0336
Per class
Relative absolute error
0.3434 ± 0.008
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.107 ± 0.0041
Root relative squared error
0.4881 ± 0.0187
SciMark benchmark
1115.9768