Run
434768

Run 434768

Task 62 (Learning Curve) anneal Uploaded 12-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I80
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
0.9025 ± 0.0265
Per class
Kappa
0.4347 ± 0.021
KB relative information score
0.2507 ± 0.0314
Mean absolute error
0.1201 ± 0.0034
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.8363 ± 0.005
Prior entropy
1.1915 ± 0.0248
Recall
0.8363 ± 0.005
Per class
Relative absolute error
0.8945 ± 0.0256
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.2132 ± 0.0046
Root relative squared error
0.8258 ± 0.0168
SciMark benchmark
938.0833
UserCPU time millis
20
UserCPU time millis training
20