Badura 1965

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.3712  0.0115  0.0915  0.4630  0.309  0.37
Anderszewski 2003   3  0.422  0.142  0.304  0.6216  0.572  0.59
Ashkenazy 1981   9  0.3817  0.0114  0.1213  0.4740  0.1911  0.30
Bacha 2000   41  0.3039  0.0041  0.0632  0.2024  0.3014  0.24
Badura 1965   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   59  0.2887  0.0069  0.0384  0.0373  0.0479  0.03
Biret 1990   75  0.2256  0.0071  0.0376  0.0381  0.0382  0.03
Blet 2003   44  0.3024  0.0039  0.0545  0.0955  0.0547  0.07
Block 1995   24  0.3479  0.0028  0.0621  0.3457  0.0531  0.13
Blumental 1952   30  0.3348  0.0045  0.0548  0.0561  0.0554  0.05
Boshniakovich 1969   28  0.3365  0.0018  0.1018  0.4182  0.0432  0.13
Brailowsky 1960   23  0.3413  0.0125  0.0626  0.2937  0.1817  0.23
Bunin 1987   61  0.2747  0.0051  0.0453  0.0444  0.1049  0.06
Bunin 1987b   52  0.2969  0.0050  0.0455  0.0447  0.0752  0.05
Chiu 1999   38  0.3123  0.0031  0.0630  0.2147  0.0634  0.11
Cohen 1997   78  0.2285  0.0078  0.0374  0.0365  0.0481  0.03
Cortot 1951   84  0.1857  0.0085  0.0288  0.0270  0.0484  0.03
Csalog 1996   25  0.3434  0.0026  0.0628  0.2556  0.0633  0.12
Czerny 1949   79  0.2289  0.0080  0.0550  0.0552  0.0653  0.05
Czerny 1990   36  0.3125  0.0030  0.0729  0.2270  0.0439  0.09
Duchoud 2007   68  0.2530  0.0021  0.0827  0.2931  0.2513  0.27
Ezaki 2006   11  0.388  0.0216  0.0916  0.4546  0.0919  0.20
Falvay 1989   13  0.377  0.0211  0.1510  0.5347  0.0621  0.18
Farrell 1958   64  0.2668  0.0074  0.0460  0.0458  0.0651  0.05
Ferenczy 1958   37  0.3110  0.0244  0.0643  0.1129  0.5316  0.24
Fliere 1977   12  0.3835  0.0022  0.0723  0.3383  0.0335  0.10
Fou 1978   2  0.433  0.124  0.302  0.6921  0.453  0.56
Francois 1956   86  0.1743  0.0084  0.0378  0.0385  0.0289  0.02
Friedman 1923   10  0.3831  0.009  0.148  0.5517  0.545  0.54
Friedman 1923b   6  0.3921  0.017  0.207  0.5722  0.524  0.54
Friedman 1930   17  0.3526  0.0024  0.0620  0.3639  0.1318  0.22
Garcia 2007   81  0.2152  0.0076  0.0382  0.0363  0.0562  0.04
Garcia 2007b   76  0.2258  0.0070  0.0285  0.0246  0.0687  0.03
Gierzod 1998   5  0.3914  0.016  0.203  0.6628  0.316  0.45
Gornostaeva 1994   58  0.2874  0.0056  0.0452  0.0456  0.0565  0.04
Groot 1988   33  0.3218  0.0136  0.0642  0.1187  0.0350  0.06
Harasiewicz 1955   20  0.3444  0.0057  0.0454  0.0458  0.0569  0.04
Hatto 1993   21  0.3486  0.0046  0.0547  0.0572  0.0468  0.04
Hatto 1997   32  0.3238  0.0033  0.0836  0.1668  0.0444  0.08
Horowitz 1949   83  0.1946  0.0082  0.0368  0.0373  0.0378  0.03
Indjic 1988   26  0.3361  0.0047  0.1044  0.1067  0.0546  0.07
Kapell 1951   69  0.2560  0.0073  0.0379  0.0372  0.0477  0.03
Kissin 1993   18  0.3571  0.0023  0.0925  0.3153  0.0727  0.15
Kushner 1989   4  0.404  0.123  0.265  0.6230  0.307  0.43
Luisada 1991   48  0.2933  0.0066  0.0287  0.0269  0.0571  0.03
Lushtak 2004   45  0.3062  0.0017  0.0722  0.3437  0.1023  0.18
Malcuzynski 1961   7  0.386  0.0410  0.1511  0.5240  0.1710  0.30
Magaloff 1978   54  0.2936  0.0055  0.0458  0.0486  0.0374  0.03
Magin 1975   40  0.3075  0.0067  0.0366  0.0358  0.0557  0.04
Michalowski 1933   73  0.2354  0.0068  0.0383  0.0365  0.0561  0.04
Milkina 1970   27  0.3355  0.0027  0.0624  0.3150  0.0726  0.15
Mohovich 1999   60  0.2882  0.0059  0.0462  0.0462  0.0464  0.04
Moravec 1969   49  0.2950  0.0061  0.0377  0.0380  0.0370  0.03
Morozova 2008   1  0.431  0.261  0.261  0.7111  0.541  0.62
Neighaus 1950   72  0.2466  0.0062  0.0380  0.0381  0.0383  0.03
Niedzielski 1931   62  0.265  0.0540  0.0539  0.1442  0.1330  0.13
Ohlsson 1999   15  0.3615  0.015  0.196  0.5723  0.338  0.43
Osinska 1989   51  0.2959  0.0032  0.0634  0.1753  0.0536  0.09
Pachmann 1927   65  0.2664  0.0053  0.0451  0.0439  0.1543  0.08
Paderewski 1930   82  0.1949  0.0083  0.0463  0.0455  0.0559  0.04
Perlemuter 1992   53  0.2953  0.0058  0.0549  0.0571  0.0455  0.04
Pierdomenico 2008   85  0.1790  0.0086  0.0367  0.0370  0.0476  0.03
Poblocka 1999   35  0.3132  0.0037  0.0541  0.1365  0.0541  0.08
Rabcewiczowa 1932   77  0.2245  0.0075  0.0370  0.0362  0.0558  0.04
Rachmaninoff 1923   50  0.2941  0.0064  0.0464  0.0462  0.0456  0.04
Rangell 2001   66  0.2663  0.0052  0.0456  0.0459  0.0566  0.04
Richter 1976   34  0.3220  0.0135  0.0540  0.1363  0.0542  0.08
Rosen 1989   22  0.3483  0.0013  0.1114  0.4654  0.0528  0.15
Rosenthal 1930   47  0.2951  0.0063  0.0371  0.0357  0.0563  0.04
Rosenthal 1931   39  0.3122  0.0038  0.0537  0.1520  0.5612  0.29
Rosenthal 1931b   57  0.2840  0.0049  0.0461  0.0422  0.5029  0.14
Rosenthal 1931c   70  0.2572  0.0072  0.0375  0.0369  0.0485  0.03
Rosenthal 1931d   80  0.2181  0.0079  0.0459  0.0457  0.0567  0.04
Rossi 2007   87  0.0870  0.0087  0.0369  0.0368  0.0473  0.03
Rubinstein 1939   43  0.3080  0.0048  0.0746  0.0748  0.0548  0.06
Rubinstein 1952   74  0.2373  0.0077  0.0373  0.0382  0.0386  0.03
Rubinstein 1966   8  0.389  0.028  0.179  0.5442  0.1115  0.24
Schilhawsky 1960   63  0.2642  0.0060  0.0365  0.0364  0.0480  0.03
Shebanova 2002   19  0.3488  0.0019  0.0819  0.4046  0.0822  0.18
Smith 1975   67  0.2628  0.0065  0.0381  0.0379  0.0375  0.03
Sokolov 2002   71  0.2467  0.0081  0.0372  0.0380  0.0372  0.03
Sztompka 1959   55  0.2977  0.0054  0.0457  0.0470  0.0460  0.04
Tomsic 1995   29  0.3316  0.0120  0.0917  0.4156  0.0625  0.16
Uninsky 1932   31  0.3211  0.0229  0.0731  0.2038  0.1424  0.17
Uninsky 1971   16  0.3629  0.0012  0.1312  0.5045  0.0820  0.20
Wasowski 1980   46  0.3037  0.0034  0.0633  0.1783  0.0440  0.08
Zak 1937   56  0.2927  0.0043  0.0738  0.1558  0.0537  0.09
Zak 1951   42  0.3019  0.0142  0.0635  0.1653  0.0538  0.09
Random 1   88  -0.0176  0.0088  0.0286  0.0228  0.3045  0.08
Random 2   89  -0.0884  0.0090  0.0190  0.0184  0.0290  0.01
Random 3   90  -0.0878  0.0089  0.0189  0.0169  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).