DEVELOPMENT... OpenML
Run
161429

Run 161429

Task 20 (Supervised Classification) mfeat-pixel Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I10
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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.

22 Evaluation measures

Area under ROC curve
0.7121
Per class
F measure
0.0766
Per class
Kappa
0.1033
KB relative information score
440.4985
Mean absolute error
0.167
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0614
Per class
Predictive accuracy
0.193
Prior entropy
3.3219
Recall
0.193
Per class
Relative absolute error
0.9275
Root mean prior squared error
0.3
Root mean squared error
0.2892
Root relative squared error
0.9639
SciMark benchmark
933.8635
UserCPU time millis
50
UserCPU time millis testing
10
UserCPU time millis training
40