Run
434749

Run 434749

Task 2098 (Learning Curve) abalone Uploaded 12-05-2015 by Joaquin Vanschoren
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I40
weka.MultiBoostAB_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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.

20 Evaluation measures

Area under ROC curve
0.6296 ± 0.0081
Per class
Kappa
0.0769 ± 0.0147
KB relative information score
0.1393 ± 0.0036
Mean absolute error
0.0595 ± 0.0001
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.2092 ± 0.0119
Prior entropy
3.6031 ± 0.0188
Recall
0.2092 ± 0.0119
Per class
Relative absolute error
0.9634 ± 0.0021
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1726 ± 0.0004
Root relative squared error
0.9821 ± 0.0025
SciMark benchmark
938.0833
UserCPU time millis
30
UserCPU time millis testing
10
UserCPU time millis training
20