DEVELOPMENT... OpenML
Run
164334

Run 164334

Task 3798 (Supervised Classification) fri_c1_250_10 Uploaded 17-02-2015 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)_I80
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
0.9421
Per class
F measure
0.8758
Per class
Kappa
0.7476
KB relative information score
178.4816
Mean absolute error
0.142
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8759
Per class
Predictive accuracy
0.876
Prior entropy
0.9898
Recall
0.876
Per class
Relative absolute error
0.2881
Root mean prior squared error
0.4964
Root mean squared error
0.3356
Root relative squared error
0.6762
SciMark benchmark
943.2817
UserCPU time millis
80
UserCPU time millis training
80