Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.4349  0.009  0.127  0.569  0.598  0.57
Anderszewski 2003   66  0.2333  0.0057  0.0463  0.0434  0.2152  0.09
Ashkenazy 1981   7  0.4548  0.0012  0.108  0.5531  0.4715  0.51
Bacha 2000   26  0.3717  0.0030  0.0634  0.2218  0.4827  0.32
Badura 1965   72  0.1970  0.0077  0.0469  0.0466  0.0476  0.04
Barbosa 1983   19  0.4028  0.0014  0.1310  0.5310  0.637  0.58
Biret 1990   8  0.455  0.0123  0.0917  0.456  0.729  0.57
Blet 2003   17  0.4171  0.0018  0.0916  0.4516  0.5713  0.51
Block 1995   77  0.1672  0.0075  0.0470  0.0477  0.0477  0.04
Blumental 1952   24  0.3840  0.0019  0.1019  0.4310  0.6014  0.51
Boshniakovich 1969   80  0.1453  0.0061  0.0374  0.0362  0.0579  0.04
Brailowsky 1960   87  0.0954  0.0084  0.0288  0.0271  0.0481  0.03
Bunin 1987   50  0.2911  0.0010  0.1224  0.3030  0.4024  0.35
Bunin 1987b   49  0.3043  0.0011  0.1027  0.2930  0.3826  0.33
Chiu 1999   16  0.4134  0.0032  0.0633  0.2255  0.0745  0.12
Cohen 1997   43  0.3241  0.0054  0.0649  0.0633  0.3838  0.15
Cortot 1951   60  0.2424  0.0060  0.0464  0.0450  0.0670  0.05
Csalog 1996   68  0.2161  0.0080  0.0381  0.0363  0.0574  0.04
Czerny 1949   35  0.346  0.0052  0.0557  0.0533  0.5136  0.16
Czerny 1990   32  0.3580  0.0045  0.0652  0.0636  0.3439  0.14
Duchoud 2007   25  0.3822  0.0029  0.1128  0.2736  0.2330  0.25
Ezaki 2006   45  0.3162  0.0050  0.0559  0.0533  0.2744  0.12
Falvay 1989   6  0.473  0.0117  0.0913  0.489  0.5117  0.49
Farrell 1958   59  0.2555  0.0053  0.0746  0.0755  0.0659  0.06
Ferenczy 1958   69  0.2050  0.0069  0.0467  0.0434  0.5337  0.15
Fliere 1977   65  0.2481  0.0074  0.0375  0.0360  0.0571  0.04
Fou 1978   36  0.3430  0.0042  0.0639  0.1545  0.0750  0.10
Francois 1956   31  0.3520  0.0025  0.0920  0.3713  0.6716  0.50
Friedman 1923   82  0.1463  0.0087  0.0473  0.0482  0.0387  0.03
Friedman 1923b   84  0.1373  0.0086  0.0287  0.0283  0.0389  0.02
Friedman 1930   34  0.3531  0.0039  0.0741  0.1447  0.0947  0.11
Garcia 2007   70  0.207  0.0049  0.0654  0.0651  0.0660  0.06
Garcia 2007b   33  0.3512  0.0021  0.1122  0.3617  0.5519  0.44
Gierzod 1998   83  0.1357  0.0066  0.0465  0.0452  0.0669  0.05
Gornostaeva 1994   37  0.3356  0.0055  0.0650  0.0635  0.3043  0.13
Groot 1988   20  0.4015  0.0020  0.1014  0.4743  0.1429  0.26
Harasiewicz 1955   28  0.3682  0.0036  0.0732  0.2268  0.0453  0.09
Hatto 1993   2  0.792  0.142  0.882  0.942  0.942  0.94
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1949   46  0.3174  0.0040  0.0544  0.1141  0.2435  0.16
Indjic 1988   1  0.831  0.791  0.781  0.962  0.961  0.96
Kapell 1951   5  0.4810  0.005  0.124  0.6410  0.595  0.61
Kissin 1993   64  0.2483  0.0062  0.0468  0.0456  0.0767  0.05
Kushner 1989   52  0.2984  0.0068  0.0471  0.0452  0.0664  0.05
Luisada 1991   4  0.4813  0.003  0.353  0.707  0.723  0.71
Lushtak 2004   71  0.1985  0.0078  0.0380  0.0378  0.0384  0.03
Malcuzynski 1961   56  0.2716  0.0046  0.0745  0.0745  0.0857  0.07
Magaloff 1978   79  0.1575  0.0079  0.0376  0.0375  0.0382  0.03
Magin 1975   27  0.3658  0.0022  0.1118  0.4420  0.6012  0.51
Michalowski 1933   51  0.2926  0.0035  0.0535  0.2147  0.0841  0.13
Milkina 1970   9  0.439  0.008  0.1411  0.526  0.656  0.58
Mohovich 1999   55  0.2744  0.0016  0.1329  0.2635  0.2331  0.24
Moravec 1969   42  0.3235  0.0043  0.0643  0.1332  0.2534  0.18
Morozova 2008   38  0.3364  0.0051  0.0655  0.0662  0.0568  0.05
Neighaus 1950   18  0.414  0.0126  0.0921  0.3640  0.1632  0.24
Niedzielski 1931   58  0.2659  0.0056  0.0747  0.0745  0.0756  0.07
Ohlsson 1999   39  0.3376  0.0044  0.0742  0.1358  0.0554  0.08
Osinska 1989   57  0.2645  0.0063  0.0460  0.0451  0.0662  0.05
Pachmann 1927   85  0.1177  0.0082  0.0379  0.0374  0.0573  0.04
Paderewski 1930   53  0.2865  0.0034  0.0536  0.2041  0.2333  0.21
Perlemuter 1992   81  0.1486  0.0085  0.0383  0.0381  0.0380  0.03
Pierdomenico 2008   41  0.3266  0.0047  0.0651  0.0628  0.3040  0.13
Poblocka 1999   67  0.2138  0.0059  0.0558  0.0569  0.0563  0.05
Rabcewiczowa 1932   29  0.3687  0.0038  0.0737  0.1922  0.5925  0.33
Rachmaninoff 1923   54  0.2823  0.0058  0.0462  0.0468  0.0472  0.04
Rangell 2001   78  0.1588  0.0081  0.0382  0.0380  0.0386  0.03
Richter 1976   48  0.3051  0.0064  0.0556  0.0567  0.0566  0.05
Rosen 1989   44  0.3121  0.0048  0.0648  0.0673  0.0378  0.04
Rosenthal 1930   30  0.3647  0.0027  0.0825  0.2924  0.4323  0.35
Rosenthal 1931   76  0.1678  0.0070  0.0472  0.0444  0.1555  0.08
Rosenthal 1931b   75  0.1789  0.0073  0.0377  0.0342  0.1558  0.07
Rosenthal 1931c   62  0.2442  0.0065  0.0653  0.0645  0.0661  0.06
Rosenthal 1931d   74  0.1719  0.0067  0.0466  0.0436  0.2949  0.11
Rossi 2007   89  -0.0590  0.0090  0.0190  0.0187  0.0190  0.01
Rubinstein 1939   11  0.4336  0.007  0.1323  0.3416  0.3722  0.35
Rubinstein 1952   14  0.4246  0.006  0.115  0.604  0.684  0.64
Rubinstein 1966   12  0.4339  0.0015  0.1212  0.5117  0.4318  0.47
Schilhawsky 1960   73  0.1932  0.0076  0.0385  0.0346  0.0675  0.04
Shebanova 2002   40  0.3352  0.0037  0.0638  0.1760  0.0748  0.11
Smith 1975   21  0.4027  0.0028  0.1026  0.2918  0.5021  0.38
Sokolov 2002   22  0.4014  0.0031  0.0631  0.2418  0.4428  0.32
Sztompka 1959   47  0.3029  0.0041  0.0640  0.1458  0.0651  0.09
Tomsic 1995   13  0.438  0.0013  0.119  0.534  0.5910  0.56
Uninsky 1932   23  0.3925  0.0033  0.0530  0.2450  0.0742  0.13
Uninsky 1971   3  0.4967  0.004  0.236  0.579  0.5211  0.54
Wasowski 1980   15  0.4118  0.0024  0.1215  0.4534  0.4120  0.43
Zak 1937   61  0.2468  0.0072  0.0461  0.0454  0.0665  0.05
Zak 1951   63  0.2479  0.0071  0.0378  0.0376  0.0383  0.03
Random 1   88  0.0037  0.0088  0.0286  0.0255  0.0485  0.03
Random 2   86  0.1160  0.0083  0.0384  0.0312  0.4546  0.12
Random 3   90  -0.0669  0.0089  0.0189  0.0152  0.0388  0.02

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).