1 minInvestigating Features Interaction with ALEInvestigating the nature of interaction between two features and its effect on a model’s prediction might provide insightful knowledge ab...

1 minWorking PointWorking point is an easy knob to use in order to optimize the model performance to fit our needs. Working point (WP) is a value between 0...

1 minCategorical Features TableThe categorical features table summarizes multiple statistics about every categorical feature in the data, allowing it to be investigated...

2 minFeature InteractionFeatures often interact with each other under model predictions, and therefore interaction analysis can provide meaningful insights for t...

1 minNumerical Features TableThe numerical features table summarizes multiple statistics about every numerical feature in the data, allowing it to be investigated all...

1 minFeatures Shared DistributionShared distribution heatmap is a very useful and visual way to examine the spread and legitimacy of the data and understand how different...

1 minFeature HistogramFeature histogram enables a single glance to view each features general distribution split between the labels categories. For continuous ...

1 minFeature LeakageThe feature leakage ROC plot is a graphic way to evaluate the potential leakage there might be between each feature and the label. Data l...

1 minLabels DistributionThe label distribution pie chart gives us a quick way to understand the balance of labels in the data, identifying potential unbalancness...

1 minPrecision-Recall CurvePrecision-Recall Curve is a graphic way to evaluate the model performance and trade-offs under different working points. Precision is a r...

1 minConfusion MatrixConfusion Matrix is a table that describes the performance of a classification model on a set of test data for which the true values are ...

1 minCounterfactual AnalysisCounterfactuals provide an easy to understand local explanation to models prediction using a counter example providing a what-if intuitio...

1 minAnchor AnalysisAnchors provide an intuitive set of rules that emphasis the features that are locally sufficient for the model to make a decision. These ...

1 minDependence Plot Per FeatureThe partial dependence plot (PDP) shows the marginal effect one or two features have on the predicted outcome of a machine learning model...

1 minPrediction HistogramA prediction histogram is an intuitive graphic way for visualizing model predictions and the separation it achieves for the actual labels...

1 minForce PlotForce plots are a very intuitive and visual way to understand the influence of each feature on the models prediction for a specific insta...

2 minCalibration PlotCalibration plots give us a snapshot to understand how well a model's prediction correlate with a measure of probability that it is corre...

2 minReceiver Operating Characteristic (ROC) CurveReceiver Operating Characteristic Curve is a graphic way to evaluate the model performance and the trade-offs under different working poi...

1 minFeature ImportanceFeature Importance plots are a great way to get a sense quickly how much a model is relying on each feature to make it predictions. Featu...