Handwritten Digits Prediction Analysis

A Brief Analysis of the Handwritten digits prediction results.

In this notebook I have performed the analysis of Digits recognition accuracy, the dataset used in this notebook comes inbuilt with the scikit-learn library so it needs not to be downloaded.

The Digits data set of the scikit-learn library provides numerous data-sets that are useful for testing many problems of data analysis and prediction of the results. Some Scientist claims that it predicts the digit accurately 95% of the times. Perform data Analysis to accept or reject this Hypothesis

We can see that our dataset has 1797 images and all the images are 8x8 in dimension.

We have 1797 labels for our target that contains values from 0 to 9.

Lets split our data so it can be used for training our model and later for testing purpose.

Let’s see our train data a bit.

Making individual predictions.

Making random digits predictions.

Let’s visualize some of the results of the dataset.

Making predictions on the entire dataset

Our model has an accuracy of around 97% which is quite good.

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