Predictive machine learning models for parcels of real property

A system comprising:

• one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
• obtaining, from one or more sources, a collection of data associated with a specified parcel of real property, wherein the collection of data includes one or more involuntary liens associated with the specified parcel of real property;
• training a machine learning model using a training set comprising a collection of data points and labels for a set of real property parcels distinct from the specified parcel of real property, each real property parcel of the training set including information about each involuntary lien attached to the parcel, wherein the training comprises extracting features from the training set and determining associated weights such that a prediction for each involuntary lien attached to the parcel generated by the machine learning model corresponds to the known parameter values;
• inputting the collection of data to the machine learning model;
• using the machine learning model to generate a prediction from the input collection of data for each of the one or more involuntary liens comprising:
• generating for each of the one or more involuntary liens a respective probability value that the involuntary lien has not been released from the specified parcel of real property;
• for each involuntary lien:
• determining whether probability value that the involuntary lien has not been released from the specified parcel of real property satisfies one or more threshold values;
• determining that the involuntary lien to be released or not released based on whether or not the probability satisfies the one or more threshold values;
• and
• using the determination for each involuntary lien as either released or not released to determine a risk tolerance for the parcel of real property and, based on the risk tolerance, determining whether to manually resolve one or more involuntary liens or to allow a title evaluation process to proceed for the parcel of real property.

One or more non-transitory computer-readable storage media encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising:

• obtaining, from one or more sources, a collection of data associated with a specified parcel of real property, wherein the collection of data includes one or more involuntary liens associated with the specified parcel of real property;
• training a machine learning model using a training set comprising a collection of data points and labels for a set of real property parcels distinct from the specified parcel of real property, each real property parcel of the training set including information about each involuntary lien attached to the parcel, wherein the training comprises extracting features from the training set and determining associated weights such that a prediction for each involuntary lien attached to the parcel generated by the machine learning model corresponds to the known parameter values;
• inputting the collection of data to the machine learning model;
• using the machine learning model to generate a prediction from the input collection of data for each of the one or more involuntary liens comprising:
• generating for each of the one or more involuntary liens a respective probability value that the involuntary lien has not been released from the specified parcel of real property;
• for each involuntary lien:
• determining whether probability value that the involuntary lien has not been released from the specified parcel of real property satisfies one or more threshold values;
• determining that the involuntary lien to be released or not released based on whether or not the probability satisfies the one or more threshold values;
• and
• using the determination for each involuntary lien as either released or not released to determine a risk tolerance for the parcel of real property and, based on the risk tolerance, determining whether to manually resolve one or more involuntary liens or to allow a title evaluation process to proceed for the parcel of real property.