Run
434701

Run 434701

Task 87 (Learning Curve) optdigits 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
0.678 ± 0.0069
Per class
Kappa
0.1082 ± 0.0024
KB relative information score
0.1932 ± 0.002
Mean absolute error
0.1688 ± 0.0002
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.1974 ± 0.0018
Prior entropy
3.3218 ± 0.0001
Recall
0.1974 ± 0.0018
Per class
Relative absolute error
0.9378 ± 0.0013
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.2905 ± 0.0005
Root relative squared error
0.9684 ± 0.0015
SciMark benchmark
904.333
UserCPU time millis
70
UserCPU time millis testing
10
UserCPU time millis training
60