Hatto 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.384  0.0049  0.0754  0.0715  0.5148  0.19
Anderszewski 2003   36  0.4246  0.0041  0.0639  0.1720  0.5236  0.30
Ashkenazy 1981   9  0.5111  0.0013  0.129  0.626  0.699  0.65
Bacha 2000   39  0.4112  0.0042  0.0735  0.2010  0.5933  0.34
Badura 1965   69  0.3461  0.0068  0.0473  0.0448  0.0584  0.04
Barbosa 1983   16  0.4910  0.0015  0.1212  0.617  0.6711  0.64
Biret 1990   53  0.3730  0.0064  0.0562  0.0542  0.2065  0.10
Blet 2003   31  0.4377  0.0021  0.0927  0.3511  0.5326  0.43
Block 1995   59  0.3747  0.0048  0.0757  0.0741  0.1660  0.11
Blumental 1952   8  0.5222  0.009  0.137  0.712  0.794  0.75
Boshniakovich 1969   51  0.3848  0.0045  0.0940  0.1746  0.0858  0.12
Brailowsky 1960   78  0.2831  0.0087  0.0565  0.0550  0.0774  0.06
Bunin 1987   52  0.3723  0.0032  0.0741  0.1712  0.5337  0.30
Bunin 1987b   54  0.3732  0.0034  0.0644  0.1414  0.5040  0.26
Chiu 1999   19  0.4778  0.0028  0.1122  0.419  0.5521  0.47
Cohen 1997   79  0.2879  0.0078  0.0475  0.0446  0.0977  0.06
Cortot 1951   85  0.2662  0.0084  0.0386  0.0351  0.0780  0.05
Csalog 1996   66  0.3516  0.0070  0.0566  0.0547  0.0876  0.06
Czerny 1949   72  0.3149  0.0075  0.0477  0.0441  0.2267  0.09
Czerny 1990   6  0.5363  0.005  0.205  0.748  0.775  0.75
Duchoud 2007   57  0.3750  0.0057  0.0753  0.0721  0.4051  0.17
Ezaki 2006   56  0.377  0.0069  0.0469  0.0461  0.0582  0.04
Falvay 1989   21  0.4733  0.0031  0.0828  0.3120  0.4030  0.35
Farrell 1958   75  0.2964  0.0077  0.0479  0.0455  0.0679  0.05
Ferenczy 1958   82  0.2713  0.0083  0.0382  0.0342  0.2371  0.08
Fliere 1977   12  0.509  0.0018  0.1414  0.5723  0.4718  0.52
Fou 1978   29  0.4365  0.0040  0.0645  0.1234  0.3047  0.19
Francois 1956   81  0.2727  0.0079  0.0563  0.0545  0.1073  0.07
Friedman 1923   62  0.3680  0.0061  0.0467  0.0427  0.4157  0.13
Friedman 1923b   64  0.3534  0.0062  0.0560  0.0529  0.4056  0.14
Friedman 1930   30  0.4315  0.0033  0.0731  0.2716  0.5629  0.39
Garcia 2007   70  0.3435  0.0053  0.0750  0.0718  0.4252  0.17
Garcia 2007b   28  0.4381  0.0012  0.1117  0.545  0.7412  0.63
Gierzod 1998   34  0.4266  0.0035  0.0630  0.2820  0.4432  0.35
Gornostaeva 1994   73  0.3136  0.0080  0.0384  0.0358  0.0586  0.04
Groot 1988   5  0.5367  0.006  0.286  0.743  0.766  0.75
Harasiewicz 1955   7  0.5337  0.0010  0.1411  0.6111  0.5814  0.59
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  0.882  0.002  0.942  0.982  0.982  0.98
Horowitz 1949   65  0.3551  0.0056  0.0659  0.0616  0.5550  0.18
Indjic 1988   1  0.971  0.991  0.981  1.001  1.001  1.00
Kapell 1951   15  0.4917  0.0016  0.1313  0.599  0.5315  0.56
Kissin 1993   20  0.4768  0.0023  0.0818  0.4918  0.6116  0.55
Kushner 1989   18  0.4838  0.0020  0.1121  0.4425  0.3828  0.41
Luisada 1991   11  0.505  0.007  0.1910  0.627  0.6710  0.64
Lushtak 2004   67  0.3528  0.0060  0.0470  0.0467  0.0485  0.04
Malcuzynski 1961   24  0.446  0.0019  0.1020  0.4615  0.5220  0.49
Magaloff 1978   45  0.4039  0.0043  0.0736  0.1829  0.2842  0.22
Magin 1975   10  0.5169  0.0011  0.118  0.663  0.758  0.70
Michalowski 1933   77  0.2970  0.0076  0.0468  0.0432  0.2761  0.10
Milkina 1970   14  0.4971  0.0014  0.1316  0.5413  0.6613  0.60
Mohovich 1999   40  0.4172  0.0017  0.1225  0.4024  0.4825  0.44
Moravec 1969   26  0.4420  0.0039  0.0543  0.1516  0.4439  0.26
Morozova 2008   43  0.4052  0.0037  0.0642  0.1634  0.3044  0.22
Neighaus 1950   47  0.3982  0.0036  0.0537  0.1825  0.3741  0.26
Niedzielski 1931   44  0.4014  0.0027  0.1032  0.274  0.6127  0.41
Ohlsson 1999   22  0.4653  0.0025  0.0929  0.3121  0.3634  0.33
Osinska 1989   37  0.4183  0.0054  0.0751  0.0741  0.1759  0.11
Pachmann 1927   83  0.2729  0.0082  0.0383  0.0355  0.0683  0.04
Paderewski 1930   68  0.3440  0.0050  0.0755  0.075  0.6645  0.21
Perlemuter 1992   74  0.3184  0.0066  0.0480  0.0438  0.1869  0.08
Pierdomenico 2008   55  0.3721  0.0051  0.0848  0.087  0.5843  0.22
Poblocka 1999   48  0.3954  0.0052  0.0946  0.0933  0.3053  0.16
Rabcewiczowa 1932   76  0.2985  0.0073  0.0478  0.0453  0.0678  0.05
Rachmaninoff 1923   58  0.3773  0.0058  0.0849  0.0834  0.2655  0.14
Rangell 2001   80  0.2741  0.0074  0.0472  0.0471  0.0388  0.03
Richter 1976   23  0.4524  0.0030  0.0833  0.2523  0.5031  0.35
Rosen 1989   35  0.4274  0.0047  0.0758  0.0741  0.1564  0.10
Rosenthal 1930   60  0.3725  0.0059  0.0564  0.0529  0.4354  0.15
Rosenthal 1931   84  0.2786  0.0081  0.0474  0.0440  0.2362  0.10
Rosenthal 1931b   86  0.2575  0.0085  0.0288  0.0245  0.1181  0.05
Rosenthal 1931c   71  0.3442  0.0072  0.0471  0.0431  0.2566  0.10
Rosenthal 1931d   87  0.2387  0.0086  0.0385  0.0350  0.0587  0.04
Rossi 2007   88  0.0888  0.0088  0.0289  0.0281  0.0289  0.02
Rubinstein 1939   33  0.4218  0.0038  0.0634  0.2016  0.4735  0.31
Rubinstein 1952   27  0.4389  0.0029  0.0724  0.4016  0.5523  0.47
Rubinstein 1966   13  0.5043  0.008  0.1615  0.5416  0.5517  0.54
Schilhawsky 1960   63  0.3590  0.0067  0.0476  0.0432  0.2563  0.10
Shebanova 2002   4  0.5519  0.004  0.444  0.756  0.707  0.72
Smith 1975   61  0.3655  0.0071  0.0481  0.0442  0.1372  0.07
Sokolov 2002   32  0.4256  0.0055  0.0752  0.0717  0.4849  0.18
Sztompka 1959   41  0.4144  0.0024  0.1126  0.3817  0.5624  0.46
Tomsic 1995   38  0.4157  0.0046  0.0847  0.0812  0.4846  0.20
Uninsky 1932   49  0.3826  0.0044  0.0738  0.1720  0.4638  0.28
Uninsky 1971   25  0.4458  0.0026  0.0923  0.4011  0.5522  0.47
Wasowski 1980   17  0.4859  0.0022  0.1319  0.4820  0.5019  0.49
Zak 1937   42  0.408  0.0063  0.0561  0.0544  0.1270  0.08
Zak 1951   46  0.4045  0.0065  0.0756  0.0752  0.0575  0.06
Average   3  0.693  0.003  0.743  0.915  0.653  0.77
Random 1   90  -0.0376  0.0090  0.0290  0.0263  0.0390  0.02
Random 2   89  0.0691  0.0089  0.0387  0.0326  0.2868  0.09
Random 3   91  -0.0860  0.0091  0.0191  0.0186  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).