Analysis Report

For this part of the assignment, you’ll write a report on the performance of the deep learning model you created for Alphabet Soup.

The report should contain the following:

Overview of the analysis: Explain the purpose of this analysis.

Results: Using bulleted lists and images to support your answers, address the following questions:

Data Preprocessing

What variable(s) are the target(s) for your model?
is_successful
What variable(s) are the features for your model?
All the columns other than is_successful
What variable(s) should be removed from the input data because they are neither targets nor features?
EIN and NAME

Compiling, Training, and Evaluating the Model

How many neurons, layers, and activation functions did you select for your neural network model, and why?
8 hidden_nodes_layer1 and 5 hidden_nodes_layer2 picked randomly as initial set
Were you able to achieve the target model performance?
No
What steps did you take in your attempts to increase model performance?
Add hidden nodes and removed columns
Summary: Summarize the overall results of the deep learning model. Include a recommendation for how a different model could solve this classification problem, and then explain your recommendation.

I was able to get a 73% of accuracy. Perhaps if doing further data clean up or using other activation functiins we could achieve higher accuracy.