DEVELOPMENT... OpenML
Run
162754

Run 162754

Task 3672 (Supervised Classification) kin8nm 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)_I20
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
0.79
Per class
F measure
0.7131
Per class
Kappa
0.433
KB relative information score
3397.6997
Mean absolute error
0.2947
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7258
Per class
Predictive accuracy
0.7156
Prior entropy
0.9998
Recall
0.7156
Per class
Relative absolute error
0.5895
Root mean prior squared error
0.4999
Root mean squared error
0.4885
Root relative squared error
0.9772
SciMark benchmark
922.9039
UserCPU time millis
660
UserCPU time millis testing
10
UserCPU time millis training
650