How is your model doing?


A quick glance of your most important metrics.

Last 10 Evaluations
Accuracy
The proportion of all instances that are correctly predicted.
0.89 ▲ 0.7
minimum
threshold
Jan 22020Jan 5Jan 800.51
Precision
The proportion of predicted positive instances that are correctly predicted.
0.93 ▲ 0.7
minimum
threshold
Jan 22020Jan 5Jan 800.51
Recall
The proportion of actual positive instances that are correctly predicted. Also known as recall or true positive rate.
1.0 ▲ 0.7
minimum
threshold
Jan 22020Jan 5Jan 800.51
F1 Score
The harmonic mean of precision and recall.
0.07 ▼ 0.7
minimum
threshold
Jan 22020Jan 5Jan 800.51
AUROC
The area under the receiver operating characteristic curve (AUROC) is a measure of the performance of a binary classification model.
0.93 ▲ 0.7
minimum
threshold
Jan 22020Jan 5Jan 800.51
Average Precision
The area under the precision-recall curve (AUPRC) is a measure of the performance of a binary classification model.
0.98 ▲ 0.7
minimum
threshold
Jan 22020Jan 5Jan 800.51

Last 10 Evaluations

How is your model doing over time?


See how your model is performing over several metrics and subgroups over time.

Multi-plot Selection:

Metrics

The moving average of all data points.
A measure of how dispersed the data points are in relation to the mean.
The proportion of all instances that are correctly predicted.
The proportion of predicted positive instances that are correctly predicted.
The proportion of actual positive instances that are correctly predicted. Also known as recall or true positive rate.
The harmonic mean of precision and recall.
The area under the receiver operating characteristic curve (AUROC) is a measure of the performance of a binary classification model.
The area under the precision-recall curve (AUPRC) is a measure of the performance of a binary classification model.

Sex

Age

Jan 12020Jan 3Jan 5Jan 7Jan 900.20.40.60.81
Current Accuracy is trending flatand is above the threshold.

Datasets

Quantitative Analysis

Fairness Analysis

Model Details

Model Parameters

Considerations