DEVELOPMENT... OpenML
Run
161951

Run 161951

Task 3590 (Supervised Classification) analcatdata_vineyard 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
0.7382
Per class
F measure
0.595
Per class
Kappa
0.2516
KB relative information score
124.7895
Mean absolute error
0.3654
Mean prior absolute error
0.4939
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7719
Per class
Predictive accuracy
0.6581
Prior entropy
0.9912
Recall
0.6581
Per class
Relative absolute error
0.7398
Root mean prior squared error
0.4969
Root mean squared error
0.4693
Root relative squared error
0.9445
SciMark benchmark
938.9865
UserCPU time millis
10
UserCPU time millis training
10