Hatto 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.6734  0.0012  0.1117  0.3915  0.4818  0.43
Anderszewski 2003   20  0.659  0.0032  0.0832  0.2522  0.4530  0.34
Ashkenazy 1981   21  0.6435  0.0026  0.0826  0.2917  0.4228  0.35
Bacha 2000   49  0.5321  0.0061  0.0474  0.0416  0.3656  0.12
Badura 1965   23  0.6322  0.0034  0.0629  0.276  0.6023  0.40
Barbosa 1983   44  0.5536  0.0064  0.0472  0.0450  0.0676  0.05
Biret 1990   40  0.5713  0.0040  0.0737  0.2031  0.2440  0.22
Blet 2003   57  0.5037  0.0059  0.0463  0.0410  0.4453  0.13
Block 1995   65  0.4638  0.0056  0.0555  0.0543  0.1169  0.07
Blumental 1952   25  0.6239  0.0030  0.0525  0.2912  0.4031  0.34
Boshniakovich 1969   27  0.618  0.0014  0.1112  0.487  0.5912  0.53
Brailowsky 1960   61  0.4840  0.0077  0.0553  0.0563  0.0573  0.05
Bunin 1987   69  0.4441  0.0071  0.0380  0.0321  0.4061  0.11
Bunin 1987b   72  0.4314  0.0072  0.0650  0.0621  0.4047  0.15
Chiu 1999   29  0.6042  0.0048  0.0649  0.0619  0.3448  0.14
Cohen 1997   60  0.4843  0.0069  0.0466  0.0414  0.4055  0.13
Cortot 1951   64  0.4744  0.0066  0.0470  0.0413  0.5250  0.14
Csalog 1996   78  0.3910  0.0074  0.0559  0.0541  0.1367  0.08
Czerny 1949   17  0.655  0.0010  0.117  0.5410  0.589  0.56
Czerny 1990   11  0.6645  0.0022  0.0818  0.3818  0.4719  0.42
Duchoud 2007   68  0.4446  0.0070  0.0382  0.0335  0.1868  0.07
Ezaki 2006   18  0.6547  0.0033  0.0633  0.2330  0.3136  0.27
Falvay 1989   75  0.4115  0.0083  0.0381  0.0358  0.0678  0.04
Farrell 1958   38  0.5823  0.0053  0.0647  0.0642  0.1862  0.10
Ferenczy 1958   45  0.5548  0.0045  0.0746  0.0712  0.5044  0.19
Fliere 1977   3  0.713  0.004  0.215  0.573  0.558  0.56
Fou 1978   39  0.5749  0.0044  0.0544  0.1041  0.1652  0.13
Francois 1956   71  0.4450  0.0073  0.0471  0.0444  0.1270  0.07
Friedman 1923   7  0.6924  0.007  0.1311  0.484  0.716  0.58
Friedman 1923b   4  0.7051  0.006  0.1310  0.504  0.714  0.60
Friedman 1930   13  0.6625  0.0015  0.1213  0.433  0.6511  0.53
Garcia 2007   54  0.5252  0.0058  0.0467  0.0428  0.3960  0.12
Garcia 2007b   50  0.5353  0.0037  0.0730  0.2615  0.5127  0.36
Gierzod 1998   5  0.7016  0.005  0.313  0.6213  0.613  0.61
Gornostaeva 1994   66  0.4617  0.0063  0.0473  0.0462  0.0388  0.03
Groot 1988   56  0.5118  0.0051  0.0554  0.0534  0.1565  0.09
Harasiewicz 1955   6  0.7011  0.0011  0.118  0.5318  0.5710  0.55
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  0.992  0.222  0.972  0.992  1.002  0.99
Horowitz 1949   62  0.4854  0.0057  0.0558  0.0514  0.5046  0.16
Indjic 1988   1  0.991  0.781  0.771  1.002  1.001  1.00
Kapell 1951   52  0.5219  0.0039  0.0734  0.2238  0.2042  0.21
Kissin 1993   30  0.6026  0.0027  0.0923  0.3428  0.4524  0.39
Kushner 1989   32  0.5955  0.0042  0.0738  0.2039  0.2143  0.20
Luisada 1991   15  0.6656  0.0025  0.0931  0.2513  0.4729  0.34
Lushtak 2004   19  0.6527  0.0031  0.0627  0.2916  0.5026  0.38
Malcuzynski 1961   74  0.4157  0.0046  0.0557  0.0545  0.0674  0.05
Magaloff 1978   53  0.524  0.0052  0.0552  0.0528  0.2758  0.12
Magin 1975   41  0.5758  0.0028  0.0835  0.2233  0.2838  0.25
Michalowski 1933   76  0.3959  0.0068  0.0377  0.0335  0.2366  0.08
Milkina 1970   43  0.5660  0.0050  0.0651  0.0652  0.0672  0.06
Mohovich 1999   47  0.5461  0.0049  0.0556  0.0535  0.3254  0.13
Moravec 1969   79  0.3862  0.0081  0.0385  0.0375  0.0384  0.03
Morozova 2008   24  0.636  0.0020  0.0628  0.2722  0.4132  0.33
Neighaus 1950   35  0.5963  0.0017  0.1115  0.417  0.5914  0.49
Niedzielski 1931   48  0.5328  0.0029  0.0440  0.1910  0.4733  0.30
Ohlsson 1999   22  0.6364  0.0023  0.0722  0.3621  0.4422  0.40
Osinska 1989   8  0.6765  0.009  0.114  0.5810  0.615  0.59
Pachmann 1927   82  0.3566  0.0084  0.0386  0.0371  0.0386  0.03
Paderewski 1930   73  0.4267  0.0065  0.0469  0.0414  0.4949  0.14
Perlemuter 1992   55  0.5268  0.0062  0.0560  0.0529  0.2957  0.12
Pierdomenico 2008   80  0.377  0.0075  0.0462  0.0446  0.1071  0.06
Poblocka 1999   42  0.5629  0.0016  0.0920  0.3816  0.4917  0.43
Rabcewiczowa 1932   63  0.4730  0.0060  0.0376  0.0349  0.0579  0.04
Rachmaninoff 1923   31  0.5969  0.0035  0.0539  0.1928  0.2739  0.23
Rangell 2001   87  0.2870  0.0078  0.0383  0.0358  0.0580  0.04
Richter 1976   58  0.5071  0.0047  0.0561  0.0512  0.5545  0.17
Rosen 1989   36  0.5820  0.0036  0.0636  0.2119  0.3935  0.29
Rosenthal 1930   77  0.3972  0.0076  0.0464  0.0437  0.1964  0.09
Rosenthal 1931   85  0.3073  0.0085  0.0387  0.0368  0.0487  0.03
Rosenthal 1931b   86  0.3074  0.0086  0.0378  0.0365  0.0582  0.04
Rosenthal 1931c   83  0.3475  0.0079  0.0384  0.0352  0.0583  0.04
Rosenthal 1931d   84  0.3076  0.0087  0.0468  0.0457  0.0481  0.04
Rossi 2007   67  0.4577  0.0080  0.0379  0.0376  0.0485  0.03
Rubinstein 1939   34  0.5978  0.0043  0.0643  0.1120  0.3941  0.21
Rubinstein 1952   70  0.4479  0.0067  0.0465  0.0451  0.0677  0.05
Rubinstein 1966   16  0.6680  0.0024  0.0724  0.3120  0.4825  0.39
Schilhawsky 1960   10  0.6712  0.0013  0.1314  0.4217  0.5315  0.47
Shebanova 2002   26  0.6281  0.008  0.109  0.5113  0.5213  0.51
Smith 1975   46  0.5582  0.0055  0.0845  0.0840  0.1759  0.12
Sokolov 2002   51  0.5231  0.0054  0.0648  0.0627  0.2851  0.13
Sztompka 1959   33  0.5983  0.0018  0.1416  0.4022  0.5116  0.45
Tomsic 1995   81  0.3784  0.0082  0.0475  0.0458  0.0675  0.05
Uninsky 1932   59  0.5085  0.0038  0.0841  0.1820  0.4634  0.29
Uninsky 1971   37  0.5832  0.003  0.186  0.5513  0.607  0.57
Wasowski 1980   28  0.6086  0.0041  0.0642  0.1725  0.4037  0.26
Zak 1937   14  0.6687  0.0019  0.0719  0.3818  0.4520  0.41
Zak 1951   12  0.6688  0.0021  0.0621  0.3720  0.4521  0.41
Random 1   89  -0.1389  0.0089  0.0189  0.0180  0.0289  0.01
Random 2   88  0.0190  0.0088  0.0288  0.0212  0.4063  0.09
Random 3   90  -0.1433  0.0090  0.0190  0.0182  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).