📊 Dataset Health Score

🚀 Machine Learning Readiness

Dataset Shape

Rows : {{ report["shape"][0] }}
Columns : {{ report["shape"][1] }}

📊 Missing Values

Total Missing: {{ report["missing"]["total_missing"] }}

📄 Duplicate Rows

{% if report["duplicates"]["duplicates"] == 0 %} {% else %} {% endif %}

📋 Datatypes

Numeric Features: {{ report["datatypes"]["numeric_columns"]|length }}     Categorical Features: {{ report["datatypes"]["categorical_columns"]|length }}

{% for column, dtype in report["datatypes"]["datatypes"].items() %} {% endfor %}

Column	Datatype	Category
{{ column }}	{{ dtype }}	{% if column in report["datatypes"]["numeric_columns"] %} 🔢 Numeric {% else %} 🔤 Categorical {% endif %}

📋 Column Health

{% for item in report["column_health"] %} {% endfor %}

Column	Score	Status	Issues
{{ item.column }}	{{ item.score }}/100	{{ item.status }}	{{ item.issues }}

📈 Histograms

📈 Correlation Heatmap

{% if report["correlation"]["high_correlation_pairs"] %}

Highly Correlated Features

{% for pair in report["correlation"]["high_correlation_pairs"] %} {% endfor %}

Column 1	Column 2	Correlation
{{ pair["column_1"] }}	{{ pair["column_2"] }}	{{ pair["correlation"] }}

{% else %}

✅ No highly correlated features found.

{% endif %}

📦 Boxplots

📦 Outlier Analysis

{% for column, info in report["outliers"].items() %} {% endfor %}

Column	Outliers	Lower Limit	Upper Limit	Status
{{ column }}	{{ info["outliers"] }}	{{ info["lower_limit"] }}	{{ info["upper_limit"] }}	{% if info["outliers"] == 0 %} 🟢 None {% elif info["outliers"] < 20 %} 🟢 Low {% elif info["outliers"] < 100 %} 🟠 Medium {% else %} 🔴 High {% endif %}

🤖 Recommended Machine Learning Models

Prediction Task: {{ report["model_recommendation"]["task"] }}

{% for model in report["model_recommendation"]["recommended_models"] %} {% endfor %}

Rank	Model
{{ loop.index }}	{{ model }}

🛠 Recommended Preprocessing Steps

{% for item in report["preprocessing_plan"] %} {% endfor %}

Column	Action	Reason
{{ item.column }}	{{ item.action }}	{{ item.reason }}

📌 Executive Summary

• Dataset Size: {{ report["shape"][0] }} rows × {{ report["shape"][1] }} columns
• Health Score: {{ report["health"]["score"] }}/100 ({{ report["health"]["status"] }})
• ML Readiness: {{ report["ml_readiness"]["score"] }}/100 ({{ report["ml_readiness"]["status"] }})
• Missing Values: {{ report["missing"]["total_missing"] }}
• Duplicate Rows: {{ report["duplicates"]["duplicates"] }}
• Highly Correlated Features: {{ report["correlation"]["high_correlation_pairs"]|length }}
• Columns Requiring Preprocessing: {{ report["preprocessing_plan"]|length }}
• Recommended Task: {{ report["model_recommendation"]["task"] }}

🩺 MLDoctor Dataset Report