Rangell 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.5229  0.0133  0.0723  0.2946  0.0637  0.13
Anderszewski 2003   56  0.4024  0.0157  0.0462  0.0448  0.0463  0.04
Ashkenazy 1981   30  0.5062  0.0043  0.0638  0.1859  0.0452  0.08
Bacha 2000   25  0.5364  0.0045  0.0647  0.0625  0.3933  0.15
Badura 1965   49  0.4444  0.0031  0.0626  0.2718  0.3815  0.32
Barbosa 1983   64  0.397  0.0412  0.0822  0.2952  0.0541  0.12
Biret 1990   22  0.5441  0.0042  0.0539  0.1834  0.2330  0.20
Blet 2003   45  0.453  0.107  0.1219  0.3336  0.2119  0.26
Block 1995   23  0.5420  0.0125  0.0835  0.1920  0.3320  0.25
Blumental 1952   83  0.2178  0.0086  0.0283  0.0278  0.0387  0.02
Boshniakovich 1969   7  0.594  0.095  0.143  0.606  0.611  0.60
Brailowsky 1960   19  0.5543  0.0022  0.0820  0.3215  0.4314  0.37
Bunin 1987   60  0.3960  0.0074  0.0375  0.0368  0.0480  0.03
Bunin 1987b   59  0.4042  0.0073  0.0372  0.0363  0.0472  0.03
Chiu 1999   51  0.4323  0.0113  0.1011  0.4324  0.408  0.41
Cohen 1997   63  0.3934  0.0029  0.0644  0.1212  0.4126  0.22
Cortot 1951   61  0.3952  0.0069  0.0369  0.0345  0.0859  0.05
Csalog 1996   36  0.4973  0.0044  0.0742  0.1319  0.4422  0.24
Czerny 1949   75  0.3338  0.0075  0.0381  0.0363  0.0378  0.03
Czerny 1990   32  0.5067  0.0059  0.0452  0.0477  0.0382  0.03
Duchoud 2007   18  0.566  0.0514  0.1121  0.3139  0.1625  0.22
Ezaki 2006   8  0.5916  0.0111  0.097  0.5225  0.3012  0.39
Falvay 1989   38  0.4858  0.0037  0.0736  0.1941  0.0935  0.13
Farrell 1958   37  0.4926  0.0148  0.0455  0.0435  0.2049  0.09
Ferenczy 1958   71  0.3645  0.0085  0.0285  0.0275  0.0386  0.02
Fliere 1977   2  0.651  0.191  0.191  0.6316  0.522  0.57
Fou 1978   24  0.538  0.043  0.145  0.5320  0.434  0.48
Francois 1956   57  0.4081  0.0072  0.0368  0.0377  0.0383  0.03
Friedman 1923   86  0.1436  0.0082  0.0378  0.0357  0.0667  0.04
Friedman 1923b   85  0.1525  0.0181  0.0377  0.0372  0.0481  0.03
Friedman 1930   82  0.2227  0.0163  0.0464  0.0459  0.0464  0.04
Garcia 2007   74  0.3347  0.0067  0.0463  0.0426  0.3144  0.11
Garcia 2007b   84  0.1584  0.0087  0.0288  0.0266  0.0390  0.02
Gierzod 1998   35  0.4968  0.0052  0.0457  0.0461  0.0566  0.04
Gornostaeva 1994   10  0.5953  0.0018  0.0614  0.3915  0.4211  0.40
Groot 1988   28  0.5279  0.0049  0.0549  0.0548  0.0558  0.05
Harasiewicz 1955   55  0.4112  0.0119  0.0716  0.3742  0.1327  0.22
Hatto 1993   79  0.2988  0.0039  0.0640  0.1746  0.0647  0.10
Hatto 1997   77  0.3148  0.0017  0.0732  0.2165  0.0451  0.09
Horowitz 1949   43  0.4618  0.0156  0.0551  0.0541  0.0956  0.07
Indjic 1988   80  0.2885  0.0040  0.0641  0.1661  0.0550  0.09
Kapell 1951   27  0.5219  0.0153  0.0454  0.0462  0.0462  0.04
Kissin 1993   13  0.5930  0.008  0.118  0.4722  0.359  0.41
Kushner 1989   17  0.5650  0.0024  0.0833  0.2131  0.2229  0.21
Luisada 1991   34  0.4922  0.0138  0.0831  0.2439  0.1531  0.19
Lushtak 2004   46  0.4439  0.0032  0.0628  0.2662  0.0446  0.10
Malcuzynski 1961   4  0.645  0.059  0.1125  0.2839  0.1824  0.22
Magaloff 1978   1  0.672  0.162  0.164  0.5814  0.366  0.46
Magin 1975   47  0.4486  0.0054  0.0461  0.0441  0.1254  0.07
Michalowski 1933   81  0.2374  0.0084  0.0284  0.0281  0.0385  0.02
Milkina 1970   5  0.629  0.036  0.136  0.5210  0.445  0.48
Mohovich 1999   11  0.5932  0.0015  0.1013  0.4232  0.2416  0.32
Moravec 1969   44  0.4528  0.0165  0.0366  0.0380  0.0368  0.03
Morozova 2008   73  0.3540  0.0062  0.0458  0.0482  0.0377  0.03
Neighaus 1950   12  0.5917  0.0116  0.0710  0.4351  0.0632  0.16
Niedzielski 1931   68  0.3880  0.0078  0.0379  0.0378  0.0371  0.03
Ohlsson 1999   9  0.5913  0.0123  0.0718  0.3537  0.1523  0.23
Osinska 1989   26  0.5314  0.0128  0.0634  0.2028  0.2228  0.21
Pachmann 1927   52  0.4346  0.0034  0.0627  0.2622  0.3717  0.31
Paderewski 1930   21  0.5489  0.0027  0.0637  0.1821  0.3121  0.24
Perlemuter 1992   70  0.3655  0.0058  0.0460  0.0470  0.0461  0.04
Pierdomenico 2008   33  0.4969  0.0046  0.0645  0.0622  0.2539  0.12
Poblocka 1999   6  0.6021  0.0120  0.0717  0.3728  0.2518  0.30
Rabcewiczowa 1932   53  0.4237  0.0068  0.0367  0.0341  0.1655  0.07
Rachmaninoff 1923   76  0.3271  0.0071  0.0370  0.0372  0.0470  0.03
Rangell 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1976   58  0.4082  0.0066  0.0371  0.0362  0.0473  0.03
Rosen 1989   3  0.6410  0.024  0.132  0.619  0.513  0.56
Rosenthal 1930   65  0.3865  0.0077  0.0382  0.0363  0.0479  0.03
Rosenthal 1931   67  0.3872  0.0055  0.0550  0.0523  0.3436  0.13
Rosenthal 1931b   54  0.4183  0.0050  0.0548  0.0522  0.3538  0.13
Rosenthal 1931c   41  0.4759  0.0051  0.0453  0.0430  0.2648  0.10
Rosenthal 1931d   39  0.4735  0.0047  0.0646  0.0619  0.3534  0.14
Rossi 2007   87  0.1375  0.0083  0.0286  0.0278  0.0284  0.02
Rubinstein 1939   78  0.3077  0.0061  0.0365  0.0323  0.3645  0.10
Rubinstein 1952   20  0.5554  0.0026  0.079  0.4415  0.467  0.45
Rubinstein 1966   15  0.5611  0.0210  0.0915  0.3813  0.4510  0.41
Schilhawsky 1960   72  0.3649  0.0079  0.0376  0.0367  0.0376  0.03
Shebanova 2002   14  0.5815  0.0121  0.0712  0.4227  0.3513  0.38
Smith 1975   42  0.4776  0.0041  0.0643  0.1364  0.0453  0.07
Sokolov 2002   48  0.4451  0.0080  0.0373  0.0373  0.0369  0.03
Sztompka 1959   66  0.3863  0.0076  0.0380  0.0361  0.0474  0.03
Tomsic 1995   16  0.5687  0.0030  0.0524  0.2846  0.0540  0.12
Uninsky 1932   69  0.3766  0.0070  0.0374  0.0360  0.0565  0.04
Uninsky 1971   50  0.4331  0.0064  0.0459  0.0478  0.0375  0.03
Wasowski 1980   62  0.3956  0.0060  0.0456  0.0470  0.0460  0.04
Zak 1937   31  0.5033  0.0036  0.0829  0.2556  0.0542  0.11
Zak 1951   40  0.4757  0.0035  0.0530  0.2556  0.0543  0.11
Random 1   90  -0.0561  0.0090  0.0190  0.0175  0.0388  0.02
Random 2   89  0.0070  0.0088  0.0287  0.0238  0.1357  0.05
Random 3   88  0.0190  0.0089  0.0189  0.0163  0.0389  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).