Hatto 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.7829  0.0013  0.1215  0.4522  0.3915  0.42
Anderszewski 2003   25  0.7030  0.0026  0.0724  0.3031  0.2429  0.27
Ashkenazy 1981   13  0.7631  0.0019  0.1228  0.2817  0.3623  0.32
Bacha 2000   49  0.6032  0.0058  0.0654  0.0642  0.1052  0.08
Badura 1965   14  0.7533  0.0029  0.0621  0.316  0.5913  0.43
Barbosa 1983   45  0.613  0.0063  0.0467  0.0435  0.1355  0.07
Biret 1990   52  0.5911  0.0057  0.0656  0.0652  0.0568  0.05
Blet 2003   38  0.6534  0.0039  0.0633  0.2213  0.3828  0.29
Block 1995   71  0.4835  0.0031  0.0544  0.1072  0.0459  0.06
Blumental 1952   40  0.6436  0.0055  0.0651  0.0651  0.0566  0.05
Boshniakovich 1969   29  0.678  0.0011  0.1011  0.5013  0.548  0.52
Brailowsky 1960   65  0.5137  0.0075  0.0468  0.0480  0.0382  0.03
Bunin 1987   74  0.4538  0.0068  0.0476  0.0436  0.2350  0.10
Bunin 1987b   75  0.4439  0.0067  0.0473  0.0436  0.2348  0.10
Chiu 1999   24  0.7040  0.0041  0.0839  0.1732  0.2335  0.20
Cohen 1997   60  0.5541  0.0074  0.0474  0.0427  0.2749  0.10
Cortot 1951   53  0.5942  0.0056  0.0647  0.0634  0.2247  0.11
Csalog 1996   82  0.3016  0.0073  0.0475  0.0461  0.0477  0.04
Czerny 1949   20  0.7217  0.0020  0.159  0.5324  0.469  0.49
Czerny 1990   21  0.7243  0.0038  0.0831  0.2538  0.1340  0.18
Duchoud 2007   64  0.5144  0.0064  0.0561  0.0546  0.0858  0.06
Ezaki 2006   15  0.7412  0.0030  0.0636  0.2135  0.2034  0.20
Falvay 1989   83  0.2718  0.0088  0.0384  0.0380  0.0289  0.02
Farrell 1958   37  0.6545  0.0059  0.0472  0.0468  0.0474  0.04
Ferenczy 1958   48  0.6046  0.0054  0.0653  0.0624  0.3143  0.14
Fliere 1977   7  0.8013  0.005  0.246  0.5810  0.467  0.52
Fou 1978   36  0.6519  0.0047  0.0658  0.0646  0.0657  0.06
Francois 1956   69  0.4920  0.0072  0.0478  0.0485  0.0288  0.03
Friedman 1923   4  0.8621  0.004  0.184  0.645  0.694  0.66
Friedman 1923b   3  0.8647  0.003  0.213  0.655  0.693  0.67
Friedman 1930   5  0.8148  0.006  0.267  0.585  0.645  0.61
Garcia 2007   32  0.6749  0.0040  0.0738  0.1736  0.2039  0.18
Garcia 2007b   44  0.6250  0.0033  0.0527  0.2926  0.3524  0.32
Gierzod 1998   19  0.729  0.0012  0.0912  0.4918  0.4112  0.45
Gornostaeva 1994   73  0.4651  0.0066  0.0564  0.0577  0.0379  0.04
Groot 1988   70  0.4952  0.0069  0.0382  0.0349  0.0680  0.04
Harasiewicz 1955   17  0.7414  0.0037  0.0932  0.2441  0.1241  0.17
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  1.002  0.322  0.972  1.002  1.002  1.00
Horowitz 1949   50  0.6053  0.0046  0.0746  0.0736  0.3542  0.16
Indjic 1988   1  1.001  0.681  0.671  1.002  1.001  1.00
Kapell 1951   59  0.5622  0.0024  0.0826  0.2939  0.1236  0.19
Kissin 1993   34  0.6654  0.0027  0.0630  0.2834  0.2031  0.24
Kushner 1989   41  0.6455  0.0051  0.0563  0.0548  0.0663  0.05
Luisada 1991   8  0.7956  0.0015  0.0822  0.3116  0.3421  0.32
Lushtak 2004   16  0.7457  0.0036  0.0735  0.2122  0.2732  0.24
Malcuzynski 1961   78  0.3310  0.0050  0.0659  0.0649  0.0565  0.05
Magaloff 1978   68  0.495  0.0070  0.0466  0.0454  0.0662  0.05
Magin 1975   47  0.6158  0.0028  0.0637  0.2043  0.0945  0.13
Michalowski 1933   61  0.5359  0.0034  0.0642  0.1328  0.2737  0.19
Milkina 1970   62  0.5260  0.0065  0.0560  0.0549  0.0564  0.05
Mohovich 1999   56  0.5761  0.0060  0.0469  0.0454  0.0667  0.05
Moravec 1969   80  0.3062  0.0084  0.0386  0.0381  0.0381  0.03
Morozova 2008   9  0.794  0.0010  0.1118  0.3814  0.4316  0.40
Neighaus 1950   22  0.7123  0.008  0.198  0.567  0.566  0.56
Niedzielski 1931   42  0.6463  0.0035  0.0534  0.2220  0.4525  0.31
Ohlsson 1999   23  0.717  0.0021  0.0725  0.3025  0.3226  0.31
Osinska 1989   28  0.6824  0.0032  0.0629  0.2848  0.0644  0.13
Pachmann 1927   72  0.4725  0.0076  0.0565  0.0552  0.0476  0.04
Paderewski 1930   55  0.5764  0.0043  0.0641  0.1414  0.4130  0.24
Perlemuter 1992   39  0.6565  0.0053  0.0562  0.0546  0.0660  0.05
Pierdomenico 2008   79  0.3266  0.0080  0.0477  0.0467  0.0472  0.04
Poblocka 1999   54  0.5867  0.0023  0.0823  0.3027  0.3422  0.32
Rabcewiczowa 1932   67  0.506  0.0071  0.0380  0.0354  0.0573  0.04
Rachmaninoff 1923   35  0.6568  0.0052  0.0655  0.0647  0.0656  0.06
Rangell 2001   88  0.1569  0.0081  0.0383  0.0370  0.0384  0.03
Richter 1976   58  0.5670  0.0045  0.0545  0.1017  0.5033  0.22
Rosen 1989   46  0.6171  0.0042  0.0540  0.1450  0.0651  0.09
Rosenthal 1930   77  0.3572  0.0078  0.0657  0.0667  0.0378  0.04
Rosenthal 1931   87  0.2273  0.0086  0.0385  0.0368  0.0483  0.03
Rosenthal 1931b   86  0.2374  0.0085  0.0288  0.0268  0.0486  0.03
Rosenthal 1931c   84  0.2575  0.0082  0.0381  0.0368  0.0487  0.03
Rosenthal 1931d   85  0.2376  0.0087  0.0479  0.0477  0.0385  0.03
Rossi 2007   66  0.5177  0.0079  0.0471  0.0475  0.0470  0.04
Rubinstein 1939   33  0.6778  0.0049  0.0648  0.0628  0.2346  0.12
Rubinstein 1952   76  0.3779  0.0077  0.0470  0.0455  0.0669  0.05
Rubinstein 1966   26  0.6980  0.0044  0.0643  0.1233  0.2738  0.18
Schilhawsky 1960   18  0.7426  0.0018  0.1013  0.4723  0.4611  0.46
Shebanova 2002   31  0.6727  0.0014  0.0814  0.4731  0.2818  0.36
Smith 1975   57  0.5781  0.0062  0.0650  0.0687  0.0371  0.04
Sokolov 2002   63  0.5282  0.0061  0.0652  0.0648  0.0561  0.05
Sztompka 1959   27  0.6983  0.0022  0.0819  0.3735  0.2227  0.29
Tomsic 1995   81  0.3084  0.0083  0.0387  0.0364  0.0575  0.04
Uninsky 1932   43  0.6285  0.0025  0.0920  0.3427  0.3220  0.33
Uninsky 1971   51  0.6086  0.009  0.1510  0.5124  0.4210  0.46
Wasowski 1980   30  0.6787  0.0048  0.0649  0.0647  0.0854  0.07
Zak 1937   12  0.7628  0.0017  0.1017  0.3815  0.3319  0.35
Zak 1951   11  0.7788  0.0016  0.0916  0.3915  0.3317  0.36
Average   6  0.8015  0.007  0.225  0.6028  0.2914  0.42
Random 1   90  -0.2489  0.0090  0.0190  0.0170  0.0390  0.02
Random 2   89  0.0290  0.0089  0.0289  0.0217  0.3053  0.08
Random 3   91  -0.2891  0.0091  0.0191  0.0191  0.0191  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).