Hatto 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.347  0.0031  0.0834  0.2825  0.4534  0.35
Anderszewski 2003   60  0.2933  0.0058  0.0856  0.0831  0.2853  0.15
Ashkenazy 1981   3  0.662  0.003  0.273  0.875  0.873  0.87
Bacha 2000   36  0.4027  0.0030  0.0832  0.295  0.6528  0.43
Badura 1965   65  0.2447  0.0067  0.0571  0.0556  0.0474  0.04
Barbosa 1983   26  0.449  0.0021  0.1216  0.534  0.7214  0.62
Biret 1990   73  0.2020  0.0077  0.0383  0.0355  0.0576  0.04
Blet 2003   15  0.4821  0.0017  0.1122  0.5124  0.5425  0.52
Block 1995   47  0.3462  0.0050  0.0953  0.0941  0.1554  0.12
Blumental 1952   25  0.4448  0.0028  0.0925  0.467  0.7119  0.57
Boshniakovich 1969   57  0.3028  0.0052  0.1345  0.1366  0.0556  0.08
Brailowsky 1960   88  0.0410  0.0087  0.0289  0.0279  0.0389  0.02
Bunin 1987   54  0.3163  0.0032  0.0840  0.2324  0.4335  0.31
Bunin 1987b   53  0.3164  0.0037  0.1041  0.2230  0.3939  0.29
Chiu 1999   9  0.5423  0.0015  0.1111  0.6116  0.6413  0.62
Cohen 1997   74  0.1965  0.0078  0.0476  0.0469  0.0385  0.03
Cortot 1951   78  0.1766  0.0082  0.0477  0.0465  0.0477  0.04
Csalog 1996   66  0.2467  0.0068  0.0568  0.0559  0.0569  0.05
Czerny 1949   84  0.1168  0.0085  0.0385  0.0354  0.0673  0.04
Czerny 1990   13  0.4934  0.0013  0.1112  0.6012  0.7710  0.68
Duchoud 2007   28  0.4411  0.0022  0.0929  0.3225  0.4531  0.38
Ezaki 2006   72  0.205  0.0072  0.0665  0.0662  0.0562  0.05
Falvay 1989   40  0.3869  0.0047  0.0854  0.0819  0.4049  0.18
Farrell 1958   82  0.1235  0.0074  0.0478  0.0468  0.0471  0.04
Ferenczy 1958   87  0.0449  0.0086  0.0288  0.0265  0.0481  0.03
Fliere 1977   21  0.4516  0.0029  0.0826  0.4332  0.4926  0.46
Fou 1978   32  0.4236  0.0040  0.0936  0.2529  0.3736  0.30
Francois 1956   69  0.2250  0.0071  0.0667  0.0648  0.0761  0.06
Friedman 1923   50  0.3251  0.0061  0.0760  0.0746  0.1255  0.09
Friedman 1923b   52  0.3270  0.0060  0.0666  0.0646  0.1257  0.08
Friedman 1930   19  0.4617  0.0027  0.1024  0.4722  0.5923  0.53
Garcia 2007   48  0.3437  0.0049  0.0857  0.0826  0.4051  0.18
Garcia 2007b   23  0.4529  0.0010  0.1314  0.594  0.7612  0.67
Gierzod 1998   71  0.2124  0.0055  0.0759  0.0748  0.0859  0.07
Gornostaeva 1994   75  0.1871  0.0076  0.0479  0.0463  0.0475  0.04
Groot 1988   11  0.5452  0.009  0.159  0.696  0.739  0.71
Harasiewicz 1955   27  0.4472  0.0041  0.1133  0.2831  0.2641  0.27
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  0.793  0.002  0.822  0.942  0.942  0.94
Horowitz 1949   38  0.3953  0.0036  0.0728  0.3520  0.5727  0.45
Indjic 1988   1  0.961  0.991  0.971  0.991  0.991  0.99
Kapell 1951   8  0.558  0.008  0.1710  0.692  0.778  0.73
Kissin 1993   14  0.4954  0.0014  0.1113  0.5911  0.7511  0.67
Kushner 1989   31  0.4313  0.0048  0.0855  0.0828  0.4150  0.18
Luisada 1991   10  0.5425  0.006  0.357  0.747  0.766  0.75
Lushtak 2004   79  0.1573  0.0083  0.0480  0.0489  0.0283  0.03
Malcuzynski 1961   39  0.3938  0.0044  0.0843  0.1725  0.3842  0.25
Magaloff 1978   67  0.2355  0.0057  0.0763  0.0775  0.0365  0.05
Magin 1975   6  0.5756  0.007  0.336  0.781  0.874  0.82
Michalowski 1933   20  0.4674  0.0025  0.0823  0.506  0.6618  0.57
Milkina 1970   35  0.4075  0.0034  0.0735  0.2613  0.6029  0.39
Mohovich 1999   55  0.3022  0.0051  0.0951  0.0930  0.3052  0.16
Moravec 1969   42  0.3739  0.0046  0.0952  0.0925  0.3648  0.18
Morozova 2008   34  0.416  0.0035  0.0730  0.3231  0.2838  0.30
Neighaus 1950   22  0.4540  0.0026  0.1031  0.3134  0.2840  0.29
Niedzielski 1931   16  0.4830  0.0016  0.1317  0.538  0.6517  0.59
Ohlsson 1999   24  0.4414  0.0018  0.1027  0.4124  0.3730  0.39
Osinska 1989   77  0.1741  0.0075  0.0381  0.0366  0.0479  0.03
Pachmann 1927   49  0.3457  0.0053  0.1248  0.1238  0.2947  0.19
Paderewski 1930   18  0.4712  0.0011  0.1320  0.527  0.7215  0.61
Perlemuter 1992   61  0.2742  0.0064  0.0758  0.0770  0.0463  0.05
Pierdomenico 2008   41  0.3858  0.0043  0.0942  0.2114  0.5933  0.35
Poblocka 1999   63  0.2543  0.0059  0.0664  0.0654  0.0564  0.05
Rabcewiczowa 1932   80  0.1376  0.0084  0.0475  0.0478  0.0380  0.03
Rachmaninoff 1923   62  0.2677  0.0065  0.0950  0.0972  0.0366  0.05
Rangell 2001   76  0.1878  0.0066  0.0569  0.0585  0.0286  0.03
Richter 1976   7  0.5626  0.0012  0.148  0.7015  0.787  0.74
Rosen 1989   51  0.3279  0.0056  0.0761  0.0784  0.0370  0.05
Rosenthal 1930   59  0.2918  0.0039  0.0744  0.1636  0.3144  0.22
Rosenthal 1931   81  0.1380  0.0079  0.0474  0.0450  0.0668  0.05
Rosenthal 1931b   83  0.1181  0.0081  0.0382  0.0360  0.0488  0.03
Rosenthal 1931c   68  0.2382  0.0070  0.0570  0.0563  0.0478  0.04
Rosenthal 1931d   85  0.0559  0.0080  0.0384  0.0382  0.0387  0.03
Rossi 2007   91  -0.0783  0.0090  0.0190  0.0187  0.0290  0.01
Rubinstein 1939   43  0.3719  0.0045  0.0646  0.1321  0.3146  0.20
Rubinstein 1952   37  0.3960  0.0042  0.0838  0.2515  0.5532  0.37
Rubinstein 1966   33  0.4284  0.0033  0.0737  0.2523  0.3637  0.30
Schilhawsky 1960   70  0.2185  0.0069  0.0472  0.0451  0.0572  0.04
Shebanova 2002   5  0.5986  0.005  0.245  0.808  0.775  0.78
Smith 1975   64  0.2487  0.0073  0.0473  0.0449  0.0667  0.05
Sokolov 2002   44  0.3688  0.0054  0.1247  0.1228  0.3845  0.21
Sztompka 1959   29  0.4344  0.0023  0.0919  0.5321  0.5224  0.52
Tomsic 1995   30  0.4331  0.0024  0.0921  0.527  0.5620  0.54
Uninsky 1932   12  0.5015  0.0020  0.1515  0.5516  0.5321  0.54
Uninsky 1971   45  0.3532  0.0038  0.0739  0.2431  0.2743  0.25
Wasowski 1980   17  0.4845  0.0019  0.1118  0.5325  0.5422  0.53
Zak 1937   56  0.3046  0.0062  0.0762  0.0756  0.0660  0.06
Zak 1951   58  0.2989  0.0063  0.1049  0.1059  0.0558  0.07
Average   4  0.654  0.004  0.274  0.8321  0.4416  0.60
Random 1   89  0.0290  0.0089  0.0286  0.0250  0.0484  0.03
Random 2   86  0.0491  0.0088  0.0287  0.0253  0.0582  0.03
Random 3   90  -0.0661  0.0091  0.0191  0.0178  0.0291  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).