Run
434713

Run 434713

Task 91 (Learning Curve) pendigits Uploaded 12-05-2015 by Joaquin Vanschoren
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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
0.7074 ± 0.0044
Per class
Kappa
0.1114 ± 0.0021
KB relative information score
0.2214 ± 0.0017
Mean absolute error
0.1661 ± 0.0002
Mean prior absolute error
0.18 ± 0
Number of instances
109920
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.2039 ± 0.002
Prior entropy
3.3208 ± 0.0002
Recall
0.2039 ± 0.002
Per class
Relative absolute error
0.9228 ± 0.001
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.2882 ± 0.0003
Root relative squared error
0.9607 ± 0.001
SciMark benchmark
938.3789
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40