Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.7923  0.0012  0.1015  0.4123  0.3815  0.39
Anderszewski 2003   22  0.734  0.0025  0.0726  0.3028  0.2429  0.27
Ashkenazy 1981   12  0.7624  0.0019  0.1427  0.3014  0.3819  0.34
Bacha 2000   46  0.6225  0.0055  0.0552  0.0547  0.0659  0.05
Badura 1965   13  0.769  0.0028  0.0721  0.327  0.5913  0.43
Barbosa 1983   50  0.6126  0.0063  0.0556  0.0557  0.0565  0.05
Biret 1990   52  0.615  0.0054  0.0650  0.0640  0.0955  0.07
Blet 2003   36  0.6627  0.0039  0.0833  0.2216  0.3728  0.29
Block 1995   70  0.5010  0.0056  0.0555  0.0545  0.0757  0.06
Blumental 1952   41  0.6528  0.0053  0.0845  0.0868  0.0458  0.06
Boshniakovich 1969   28  0.6911  0.0010  0.108  0.5013  0.547  0.52
Brailowsky 1960   61  0.5429  0.0074  0.0469  0.0461  0.0469  0.04
Bunin 1987   73  0.4630  0.0067  0.0563  0.0530  0.2545  0.11
Bunin 1987b   74  0.4531  0.0066  0.0562  0.0530  0.2544  0.11
Chiu 1999   23  0.7232  0.0038  0.0739  0.1725  0.2433  0.20
Cohen 1997   60  0.5533  0.0073  0.0480  0.0428  0.2750  0.10
Cortot 1951   47  0.6134  0.0051  0.0561  0.0529  0.2446  0.11
Csalog 1996   81  0.3135  0.0072  0.0472  0.0471  0.0383  0.03
Czerny 1949   18  0.7436  0.0014  0.089  0.4922  0.469  0.47
Czerny 1990   20  0.7312  0.0034  0.0730  0.2445  0.0743  0.13
Duchoud 2007   64  0.5237  0.0062  0.0467  0.0449  0.0666  0.05
Ezaki 2006   15  0.7638  0.0027  0.0635  0.2133  0.2032  0.20
Falvay 1989   82  0.3039  0.0087  0.0384  0.0372  0.0380  0.03
Farrell 1958   40  0.6540  0.0058  0.0471  0.0448  0.0762  0.05
Ferenczy 1958   44  0.6241  0.0046  0.0647  0.0620  0.3142  0.14
Fliere 1977   6  0.8142  0.004  0.196  0.568  0.468  0.51
Fou 1978   37  0.6613  0.0044  0.0544  0.1048  0.0553  0.07
Francois 1956   68  0.5143  0.0071  0.0478  0.0475  0.0386  0.03
Friedman 1923   4  0.8644  0.005  0.264  0.644  0.694  0.66
Friedman 1923b   3  0.8745  0.003  0.203  0.654  0.693  0.67
Friedman 1930   5  0.8314  0.006  0.275  0.584  0.645  0.61
Garcia 2007   31  0.6846  0.0037  0.0638  0.1730  0.2336  0.20
Garcia 2007b   43  0.6347  0.0030  0.0623  0.3122  0.3720  0.34
Gierzod 1998   19  0.7415  0.0011  0.0910  0.4718  0.4112  0.44
Gornostaeva 1994   72  0.4848  0.0065  0.0565  0.0561  0.0474  0.04
Groot 1988   71  0.5049  0.0068  0.0477  0.0462  0.0575  0.04
Harasiewicz 1955   14  0.7650  0.0032  0.0629  0.2539  0.1238  0.17
Hatto 1993   2  1.002  0.332  0.972  1.002  1.002  1.00
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   45  0.6251  0.0052  0.0649  0.0631  0.3640  0.15
Indjic 1988   1  1.001  0.671  0.661  1.001  1.001  1.00
Kapell 1951   57  0.5852  0.0022  0.0924  0.3133  0.1334  0.20
Kissin 1993   35  0.6753  0.0029  0.0628  0.2934  0.2031  0.24
Kushner 1989   38  0.6616  0.0047  0.0746  0.0745  0.0854  0.07
Luisada 1991   7  0.7954  0.0016  0.0622  0.3117  0.3324  0.32
Lushtak 2004   16  0.7555  0.0033  0.0734  0.2216  0.2830  0.25
Malcuzynski 1961   77  0.3556  0.0057  0.0554  0.0568  0.0372  0.04
Magaloff 1978   69  0.5157  0.0069  0.0468  0.0460  0.0570  0.04
Magin 1975   51  0.6158  0.0026  0.0636  0.2050  0.0549  0.10
Michalowski 1933   59  0.5559  0.0031  0.0640  0.1525  0.2735  0.20
Milkina 1970   62  0.5460  0.0064  0.0558  0.0550  0.0563  0.05
Mohovich 1999   55  0.5917  0.0060  0.0557  0.0554  0.0668  0.05
Moravec 1969   78  0.3261  0.0083  0.0385  0.0383  0.0287  0.02
Morozova 2008   8  0.7918  0.009  0.1218  0.3812  0.4414  0.41
Neighaus 1950   21  0.7362  0.007  0.207  0.545  0.566  0.55
Niedzielski 1931   39  0.6519  0.0035  0.0732  0.2318  0.4622  0.33
Ohlsson 1999   24  0.7163  0.0021  0.1025  0.3023  0.3226  0.31
Osinska 1989   27  0.7064  0.0036  0.0731  0.2445  0.0841  0.14
Pachmann 1927   67  0.5165  0.0075  0.0559  0.0545  0.0664  0.05
Paderewski 1930   53  0.6066  0.0040  0.0737  0.1910  0.4327  0.29
Perlemuter 1992   33  0.6767  0.0045  0.0466  0.0446  0.0660  0.05
Pierdomenico 2008   80  0.3268  0.0079  0.0475  0.0479  0.0381  0.03
Poblocka 1999   54  0.5969  0.0023  0.0920  0.3324  0.3421  0.33
Rabcewiczowa 1932   66  0.526  0.0070  0.0479  0.0459  0.0471  0.04
Rachmaninoff 1923   32  0.673  0.0049  0.0553  0.0550  0.0561  0.05
Rangell 2001   87  0.1770  0.0080  0.0381  0.0385  0.0384  0.03
Richter 1976   58  0.5771  0.0050  0.0564  0.0515  0.5139  0.16
Rosen 1989   49  0.6172  0.0041  0.0641  0.1550  0.0651  0.09
Rosenthal 1930   76  0.3773  0.0077  0.0651  0.0650  0.0467  0.05
Rosenthal 1931   86  0.2474  0.0085  0.0383  0.0382  0.0382  0.03
Rosenthal 1931b   85  0.2575  0.0084  0.0287  0.0281  0.0389  0.02
Rosenthal 1931c   83  0.2776  0.0081  0.0382  0.0348  0.0576  0.04
Rosenthal 1931d   84  0.2520  0.0086  0.0476  0.0485  0.0385  0.03
Rossi 2007   63  0.5277  0.0078  0.0474  0.0482  0.0379  0.03
Rubinstein 1939   34  0.6778  0.0048  0.0560  0.0528  0.2248  0.10
Rubinstein 1952   75  0.377  0.0076  0.0473  0.0460  0.0577  0.04
Rubinstein 1966   26  0.7179  0.0042  0.0643  0.1233  0.2737  0.18
Schilhawsky 1960   17  0.7580  0.0015  0.1012  0.4621  0.4710  0.46
Shebanova 2002   30  0.6881  0.0013  0.0813  0.4529  0.2818  0.35
Smith 1975   56  0.5882  0.0061  0.0648  0.0645  0.0656  0.06
Sokolov 2002   65  0.5283  0.0059  0.0470  0.0463  0.0378  0.03
Sztompka 1959   25  0.7184  0.0020  0.0814  0.4231  0.2525  0.32
Tomsic 1995   79  0.328  0.0082  0.0386  0.0359  0.0573  0.04
Uninsky 1932   42  0.6485  0.0024  0.0919  0.3425  0.3223  0.33
Uninsky 1971   48  0.6186  0.008  0.1511  0.4622  0.4211  0.44
Wasowski 1980   29  0.6921  0.0043  0.0642  0.1345  0.0847  0.10
Zak 1937   10  0.7787  0.0018  0.1016  0.3916  0.3316  0.36
Zak 1951   11  0.7722  0.0017  0.0917  0.3916  0.3317  0.36
Random 1   89  -0.2588  0.0089  0.0189  0.0166  0.0388  0.02
Random 2   88  0.0089  0.0088  0.0288  0.0218  0.3052  0.08
Random 3   90  -0.2890  0.0090  0.0190  0.0186  0.0290  0.01

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).