Run
64965

Run 64965

Task 1740 (Learning Curve) soybean Uploaded 19-11-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_LWL_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(2)_C3
weka.MultiBoostAB_LWL_DecisionStump(2)_P100
weka.MultiBoostAB_LWL_DecisionStump(2)_S1
weka.MultiBoostAB_LWL_DecisionStump(2)_I10
weka.MultiBoostAB_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL

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.

19 Evaluation measures

Area under ROC curve
0.9339 ± 0.0173
Per class
Build CPU time
3.8875
Build memory
120678147.1
Kappa
0.7448 ± 0.0611
KB relative information score
0.6622 ± 0.0843
Mean absolute error
0.0457 ± 0.0132
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]
Predictive accuracy
0.7701 ± 0.0547
Prior entropy
3.8358 ± 0.0227
Recall
0.7701 ± 0.0547
Per class
Relative absolute error
0.4755 ± 0.1371
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.1429 ± 0.0144
Root relative squared error
0.6523 ± 0.0657
SciMark benchmark
943.0474