Run
503410

Run 503410

Task 10056 (Learning Curve) kdd_internet_usage Uploaded 28-12-2015 by Jan van Rijn
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Flow

weka.ADTree(7)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(7)_B10
weka.ADTree(7)_E-3
weka.ADTree(7)_S1

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
0.9473 ± 0.0068
Per class
F measure
0.8959 ± 0.0093
Per class
Kappa
0.735 ± 0.0243
KB relative information score
5108.4504 ± 21.9676
Mean absolute error
0.194 ± 0.0086
Mean prior absolute error
0.3929 ± 0.0002
Number of instances
10108
Per class
OS information
[Sun Microsystems Inc., 1.6.0_37, amd64, Linux, 3.5.0-54-generic]
Precision
0.8959 ± 0.0094
Per class
Predictive accuracy
0.8958 ± 0.0091
Prior entropy
0.8395
Recall
0.8958 ± 0.0091
Per class
Relative absolute error
0.4938 ± 0.0219
Root mean prior squared error
0.4432 ± 0.0002
Root mean squared error
0.2824 ± 0.0075
Root relative squared error
0.6372 ± 0.017
SciMark benchmark
1674.9818
UserCPU time millis
800
UserCPU time millis testing
10
UserCPU time millis training
790