ML Automation
Machine Learning inzichten: transitions, listeners, block plays, playlist rotation, audio quality
ML Data Overzicht
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Totaal ML Data Points
5
Actieve Data Streams
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Meest Recente Data
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Oudste Data
Track Transitions
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Total Transitions
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Avg Gap (s)
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Best Transition
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Worst Transition
By Type
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By Hour
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Recent Transitions
| Tijd | Van | Naar | Type | Gap (s) |
|---|
Listener Stats
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Current Listeners
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Peak Listeners
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Avg Listeners
Listeners by Hour
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Listener Trend (chart)
Block Plays
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Total Block Plays
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Successful
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Failed
By Block Type
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Recent Block Plays
| Tijd | Type | Block | Status |
|---|
Playlist Rotation
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Hours Analyzed
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Unique Tracks
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Duplicates
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Cooldown Violations
Style Distribution
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Tracks per Hour
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Audio Quality
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Freezes
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XRUNs
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Last Freeze
Recent Audio Events
| Tijd | Type | Message | Severity |
|---|
Transition Quality Scoring
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Avg Quality Score
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Rating
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Best Transition
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Worst Transition
By Quality Label
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Avg Score by Hour
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Quality Trend (rolling avg per 10 transitions)
Recent Transitions with Quality
| Tijd | Van | Naar | Score | Label |
|---|
Transition Patterns
Best Transition Pairs
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Worst Transition Pairs
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Auto-ML Recommendations
Quality-Based Recommendations
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Parameter Recommendations
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—
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All Recommendations
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ML Parameters
Silence Analysis
Tracks Analyzed
0
Silence @ Start
0
Silence @ End
0
Avg Start (s)
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Avg End (s)
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Avg Peak (dB)
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Avg RMS (dB)
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ML Quality Meters
Overall Quality
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Gap Score
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Audio Level
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BPM Match
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Key Match
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Energy Flow
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Per-Block ML Status
| Hour | Avg Score | Transitions | Status |
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Quality History
Transition Suggestions
| Time (Amsterdam) | From → To | Score | Label | Suggestion |
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